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SEQUENTIAL PATTERN-MINING

  • Sequential pattern mining
  • Data mining technique

    Sequential pattern mining is a topic of data mining concerned with finding statistically relevant patterns between data examples where the values are delivered

    Sequential pattern mining

    Sequential_pattern_mining

  • Data mining
  • Process of analyzing large data sets

    (association rule mining, sequential pattern mining). This usually involves using database techniques such as spatial indices. These patterns can then be seen

    Data mining

    Data_mining

  • Structure mining
  • Finding and extracting information from semi-structured data sets

    mining or structured data mining is the process of finding and extracting useful information from semi-structured data sets. Graph mining, sequential

    Structure mining

    Structure_mining

  • Pattern matching
  • Functional programming construct

    science, pattern matching is the act of checking a given sequence of tokens for the presence of the constituents of some pattern. In contrast to pattern recognition

    Pattern matching

    Pattern_matching

  • Frequent pattern discovery
  • Technique for database mining

    algorithm. Other strategies include: Frequent subtree mining Structure mining Sequential pattern mining and respective specific techniques. Implementations

    Frequent pattern discovery

    Frequent_pattern_discovery

  • Johannes Gehrke
  • German computer scientist

    data mining, and data privacy. He developed some of the fastest data mining algorithms for frequent pattern mining, sequential pattern mining, and decision

    Johannes Gehrke

    Johannes_Gehrke

  • Text mining
  • Process of analysing text to extract information from it

    learning Record linkage Sequential pattern mining (string and sequence mining) w-shingling Web mining, a task that may involve text mining (e.g. first find appropriate

    Text mining

    Text_mining

  • Association rule learning
  • Method for discovering interesting relations between variables in databases

    Association Rules e.g. partition the age into 5-year-increment ranged Sequential pattern mining discovers subsequences that are common to more than minsup (minimum

    Association rule learning

    Association_rule_learning

  • Substring index
  • Data structure

    index can be used to locate all occurrences of a pattern in time linear or near-linear in the pattern size, with no dependence or only logarithmic dependence

    Substring index

    Substring_index

  • Educational data mining
  • Research field

    factor analysis, social network analysis, association rule mining, and sequential pattern mining. Discovered relationships must then be validated in order

    Educational data mining

    Educational_data_mining

  • Symbolic artificial intelligence
  • Methods in artificial intelligence research

    intelligence Physical symbol systems hypothesis Semantic Web Sequential pattern mining Statistical relational learning Symbolic mathematics YAGO ontology

    Symbolic artificial intelligence

    Symbolic_artificial_intelligence

  • Regular grammar
  • Type of formal grammar

    Other Parsing Pattern matching Compressed pattern matching Longest common subsequence Longest common substring Sequential pattern mining Sorting String

    Regular grammar

    Regular_grammar

  • Longest common substring
  • Computer science problem

    Other Parsing Pattern matching Compressed pattern matching Longest common subsequence Longest common substring Sequential pattern mining Sorting String

    Longest common substring

    Longest_common_substring

  • Nondeterministic finite automaton
  • Type of finite-state machine in automata theory

    compiling a regular expression to an NFA that can efficiently perform pattern matching on strings. Conversely, Kleene's algorithm can be used to convert

    Nondeterministic finite automaton

    Nondeterministic_finite_automaton

  • Thompson's construction
  • Algorithm to transform a regular expression into a finite automaton

    processing utilities use regular expressions to describe advanced search patterns, but NFAs are better suited for execution on a computer. Hence, this algorithm

    Thompson's construction

    Thompson's_construction

  • Ternary search tree
  • Data structure

    Other Parsing Pattern matching Compressed pattern matching Longest common subsequence Longest common substring Sequential pattern mining Sorting String

    Ternary search tree

    Ternary_search_tree

  • Longest common subsequence
  • Algorithmic problem on pairs of sequences

    doi:10.1145/2071379.2071383. Apostolico, Alberto; Galil, Zvi (1997-05-29). Pattern Matching Algorithms. Oxford University Press. ISBN 978-0-19-535434-8. Masek

    Longest common subsequence

    Longest common subsequence

    Longest_common_subsequence

  • Internet water army
  • Political term

    effectively analyze Internet water army user behavior and use the sequential pattern mining algorithms to determine paid posters' accounts. An information

    Internet water army

    Internet_water_army

  • K-optimal pattern discovery
  • discovery. finding k most interesting patterns using sequential sampling. mining top.k frequent closed patterns without minimum support. k-optimal rule

    K-optimal pattern discovery

    K-optimal_pattern_discovery

  • Yun Sing Koh
  • Computer scientist in New Zealand (born 1978)

    Yun Sing Koh; Rincy Thomas (2017). "A Survey of Sequential Pattern Mining". Data Science and Pattern Recognition. 1 (1): 54–77. Wikidata Q138719481. Yun

    Yun Sing Koh

    Yun_Sing_Koh

  • Compressed pattern matching
  • Searching for patterns in compressed data

    In computer science, compressed pattern matching (abbreviated as CPM) is the process of searching for patterns in compressed data with little or no decompression

    Compressed pattern matching

    Compressed_pattern_matching

  • Ramakrishnan Srikant
  • Indian computer scientist

    cited papers in the area of Data Mining. It won the VLDB 10-year award in 2004. His 1995 paper, Mining Sequential Patterns, also co-authored with Rakesh

    Ramakrishnan Srikant

    Ramakrishnan Srikant

    Ramakrishnan_Srikant

  • Suffix automaton
  • Deterministic finite automaton accepting set of all suffixes of particular string

    doi:10.1007/BF01084395. Zbl 0509.68043. Weiner, Peter (1973). "Linear pattern matching algorithms". 14th Annual Symposium on Switching and Automata Theory

    Suffix automaton

    Suffix automaton

    Suffix_automaton

  • Sequence analysis in social sciences
  • Analysis of sets of categorical sequences

    alignment Sequence analysis in bioinformatics Sequence clustering Sequential pattern mining Stochastic process Survival analysis Abbott, Andrew (1983). "Sequences

    Sequence analysis in social sciences

    Sequence analysis in social sciences

    Sequence_analysis_in_social_sciences

  • SEMMA
  • Data mining process

    aimed to create a neutral methodology, SAS also offered a pattern to follow in its data mining tools. The phases of SEMMA and related tasks are the following:

    SEMMA

    SEMMA

  • Process mining
  • Data mining technique using event logs

    techniques in the field of process mining try to discover end-to-end process models that are able to describe sequential, choice relation, concurrent and

    Process mining

    Process_mining

  • GSP algorithm
  • algorithm (Generalized Sequential Pattern algorithm) is an algorithm used for sequence mining. The algorithms for solving sequence mining problems are mostly

    GSP algorithm

    GSP_algorithm

  • Catastrophic interference
  • AI's tendency to abruptly and drastically forget old info after learning new info

    activation patterns orthogonal to one another. Lewandowsky and Li (1995) noted that the interference between sequentially learned patterns is minimized

    Catastrophic interference

    Catastrophic_interference

  • Minimum redundancy feature selection
  • maximum-relevance selection. Many heuristic algorithms can be used, such as the sequential forward, backward, or floating selections. On the other hand, features

    Minimum redundancy feature selection

    Minimum_redundancy_feature_selection

  • Time series database
  • Unordered set of n-time-series possibly of different lengths

    span a much wider range of uses. Due to the high ingestion rates and sequential nature of this data, TSDB repositories heavily utilize specialized compression

    Time series database

    Time_series_database

  • List of algorithms
  • are to be followed through in calculations, data processing, data mining, pattern recognition, automated reasoning or other problem-solving operations

    List of algorithms

    List_of_algorithms

  • Robot
  • Machine capable of carrying out a complex series of actions automatically

    to operate in complex environments and perform non-repetitive and non-sequential tasks such as transporting photomasks in a semiconductor lab, specimens

    Robot

    Robot

    Robot

  • Social media mining
  • Obtaining data from a social media user's content

    Social media mining is the process of obtaining data from user-generated content on social media in order to extract actionable patterns, form conclusions

    Social media mining

    Social_media_mining

  • Vein (geology)
  • Sheetlike body of crystallized minerals within a rock

    Veins formed in this way may exhibit a colloform, agate-like habit, of sequential selvages of minerals which radiate out from nucleation points on the vein

    Vein (geology)

    Vein (geology)

    Vein_(geology)

  • Non-negative matrix factorization
  • Algorithms for matrix decomposition

    one finds that higher-rank solutions are less likely to plateau. The sequential construction of NMF components (W and H) was firstly used to relate NMF

    Non-negative matrix factorization

    Non-negative_matrix_factorization

  • Outline of machine learning
  • Overview of and topical guide to machine learning

    Question answering Speech synthesis Text mining Term frequency–inverse document frequency Text simplification Pattern recognition Facial recognition system

    Outline of machine learning

    Outline_of_machine_learning

  • Rare-earth element
  • Any of the fifteen lanthanides plus scandium and yttrium

    needed] The rare-earth elements are often found together. During the sequential accretion of the Earth, the dense rare-earth elements were incorporated

    Rare-earth element

    Rare-earth element

    Rare-earth_element

  • Andalusite
  • Aluminium nesosilicate mineral

    Whitney, D.L. (2002). "Coexisting andalusite, kyanite, and sillimanite: Sequential formation of three Al2SiO5 polymorphs during progressive metamorphism

    Andalusite

    Andalusite

    Andalusite

  • Anomaly detection
  • Approach in data analysis

    "Adaptive real-time anomaly detection using inductively generated sequential patterns". Proceedings. 1990 IEEE Computer Society Symposium on Research in

    Anomaly detection

    Anomaly_detection

  • Semi-automatic transmission
  • Type of multi-speed motor vehicle transmission

    in motorcycles and are based on conventional manual transmissions or sequential manual transmissions, but use an automatic clutch system. But some semi-automatic

    Semi-automatic transmission

    Semi-automatic_transmission

  • Finite-state machine
  • Mathematical model of computation

    theoretical computer science Gurevich, Yuri (July 2000). "Sequential Abstract State Machines Capture Sequential Algorithms" (PDF). ACM Transactions on Computational

    Finite-state machine

    Finite-state machine

    Finite-state_machine

  • Dimensionality reduction
  • Process of reducing the number of random variables under consideration

    Mining, 2002 Lu, Haiping; Plataniotis, K.N.; Venetsanopoulos, A.N. (2011). "A Survey of Multilinear Subspace Learning for Tensor Data" (PDF). Pattern

    Dimensionality reduction

    Dimensionality_reduction

  • Conditional random field
  • Class of statistical modeling methods

    Infinite-Order Conditional Random Field Model for Sequential Data Modeling". IEEE Transactions on Pattern Analysis and Machine Intelligence. 35 (6): 1523–1534

    Conditional random field

    Conditional_random_field

  • Process driven messaging service
  • reverse order of execution. Jobs and triggers also require the reverse sequential listing of orders when created. A job creates something such as a task

    Process driven messaging service

    Process_driven_messaging_service

  • Neural network (machine learning)
  • Computational model used in machine learning

    learning include pattern recognition (classification) and regression (function approximation). Supervised learning is applicable to sequential data (e.g.,

    Neural network (machine learning)

    Neural network (machine learning)

    Neural_network_(machine_learning)

  • Data analysis for fraud detection
  • Data analysis techniques for fraud detection

    knowledge (output). If data mining results in discovering meaningful patterns, data turns into information. Information or patterns that are novel, valid and

    Data analysis for fraud detection

    Data_analysis_for_fraud_detection

  • Click tracking
  • Data collection method

    correlations” among pages users visit in a search session. Sequential pattern discovery is association rule mining, but it also accounts for time like the page views

    Click tracking

    Click_tracking

  • Dynamic time warping
  • Algorithm for measuring similarity between temporal sequences

    Dynamic Time Warping in Linear Time and Space. KDD Workshop on Mining Temporal and Sequential Data, pp. 70–80, 2004. Meinard Müller, Henning Mattes, and Frank

    Dynamic time warping

    Dynamic time warping

    Dynamic_time_warping

  • Stance detection
  • Opinion and argument mining subtask

    extracting local n-gram-like patterns and recurrent models such as LSTMs and bidirectional LSTMs for capturing sequential dependencies across longer contexts

    Stance detection

    Stance_detection

  • Concept drift
  • Change of statistical properties over time

    Knowledge Discovery from Sensor Data StreamKDD 2010 Novel Data Stream Pattern Mining Techniques Concept Drift and Learning in Nonstationary Environments

    Concept drift

    Concept_drift

  • Attention (machine learning)
  • Machine learning technique

    but a more recent design, namely the transformer, removed the slower sequential RNN and relied more heavily on the faster parallel attention scheme. Inspired

    Attention (machine learning)

    Attention (machine learning)

    Attention_(machine_learning)

  • Recommender system
  • System to predict users' preferences

    com WSDM WebTour21 Challenge on Sequential Recommendations" (PDF). WSDM '21: ACM Conference on Web Search and Data Mining. ACM. Archived from the original

    Recommender system

    Recommender_system

  • Active learning (machine learning)
  • Machine learning strategy

    a contextual bandit problem. For example, Bouneffouf et al. propose a sequential algorithm named Active Thompson Sampling (ATS), which, in each round,

    Active learning (machine learning)

    Active_learning_(machine_learning)

  • Outline of computer science
  • Overview of and topical guide to computer science

    cryptography as well as a test domain in artificial intelligence. Algorithms – Sequential and parallel computational procedures for solving a wide range of problems

    Outline of computer science

    Outline_of_computer_science

  • Search engine indexing
  • Method for data management

    while an index of 10,000 documents can be queried within milliseconds, a sequential scan of every word in 10,000 large documents could take hours. The additional

    Search engine indexing

    Search_engine_indexing

  • Long short-term memory
  • Recurrent neural network architecture

    Abidogun, Olusola Adeniyi (2005). Data Mining, Fraud Detection and Mobile Telecommunications: Call Pattern Analysis with Unsupervised Neural Networks

    Long short-term memory

    Long short-term memory

    Long_short-term_memory

  • Automation
  • Use of various control systems for operating equipment

    general-purpose programmable devices, they were soon applied to control sequential and combinatorial logic in industrial processes. However, these early

    Automation

    Automation

    Automation

  • Glossary of computer science
  • developed using formal design and modeling techniques. data mining Is a process of discovering patterns in large data sets involving methods at the intersection

    Glossary of computer science

    Glossary_of_computer_science

  • Positive and negative predictive values
  • Statistical measures of whether a finding is likely to be true

    screening test drops precipitously. That said, Balayla et al. showed that sequential testing overcomes the aforementioned Bayesian limitations and thus improves

    Positive and negative predictive values

    Positive and negative predictive values

    Positive_and_negative_predictive_values

  • K-means clustering
  • Vector quantization algorithm minimizing the sum of squared deviations

    requirement for labeled data. Standard Lloyd’s algorithm is inherently sequential. It has an effective time complexity of O(nkdi), which becomes a bottleneck

    K-means clustering

    K-means_clustering

  • Reinforcement learning
  • Field of machine learning

    Learning to Policy Induction Attacks". Machine Learning and Data Mining in Pattern Recognition. Lecture Notes in Computer Science. Vol. 10358. pp. 262–275

    Reinforcement learning

    Reinforcement learning

    Reinforcement_learning

  • Geostatistics
  • Branch of statistics focusing on spatial data sets

    Truncated Gaussian Plurigaussian Annealing Spectral simulation Sequential Indicator Sequential Gaussian Dead Leave Transition probabilities Markov chain geostatistics

    Geostatistics

    Geostatistics

    Geostatistics

  • Multi-label classification
  • Classification problem where multiple labels may be assigned to each instance

    learning algorithms, on the other hand, incrementally build their models in sequential iterations. In iteration t, an online algorithm receives a sample, xt

    Multi-label classification

    Multi-label_classification

  • Recurrent neural network
  • Class of artificial neural network

    networks, recurrent neural networks (RNNs) are designed for processing sequential data, such as text, speech, and time series, where the order of elements

    Recurrent neural network

    Recurrent_neural_network

  • Tailings dam
  • Type of dam

    dam is typically an earth-fill embankment dam used to store byproducts of mining operations after separating the ore from the gangue. Tailings can be liquid

    Tailings dam

    Tailings dam

    Tailings_dam

  • List of datasets for machine-learning research
  • 145–152. Soysal, Ömer M (2015). "Association rule mining with mostly associated sequential patterns". Expert Systems with Applications. 42 (5): 2582–2592

    List of datasets for machine-learning research

    List_of_datasets_for_machine-learning_research

  • Convolutional neural network
  • Type of feedforward neural network

    Franck; Wolf, Christian; Garcia, Christophe; Baskurt, Atilla (2011-11-16). "Sequential Deep Learning for Human Action Recognition". In Salah, Albert Ali; Lepri

    Convolutional neural network

    Convolutional_neural_network

  • Computer numerical control
  • Computer control of machine tools

    instructions. Instructions are delivered to a CNC machine in the form of a sequential program of machine control instructions such as G-code and M-code, and

    Computer numerical control

    Computer numerical control

    Computer_numerical_control

  • Feature Selection Toolbox
  • Software application

    problems) and core code improvements. Feature selection Pattern recognition Machine learning Data mining OpenNN, Open neural networks library for predictive

    Feature Selection Toolbox

    Feature Selection Toolbox

    Feature_Selection_Toolbox

  • Deep learning
  • Branch of machine learning

    Michael I. (1986). "Attractor dynamics and parallelism in a connectionist sequential machine". Proceedings of the Annual Meeting of the Cognitive Science Society

    Deep learning

    Deep learning

    Deep_learning

  • Ensemble learning
  • Statistics and machine learning technique

    producing an additive model to reduce the final model errors — also known as sequential ensemble learning. Stacking or blending consists of different base models

    Ensemble learning

    Ensemble_learning

  • Toyota Hilux
  • Series of pickup trucks

    6-speed manual transmission or a 6-speed automatic transmission with sequential shift technology. The manual model, touted as an "intelligent" manual

    Toyota Hilux

    Toyota Hilux

    Toyota_Hilux

  • Bloom filter
  • Data structure for approximate set membership

    now guaranteed to be on the same PE. In the second step each PE uses a sequential algorithm for duplicate detection on the receiving elements, which are

    Bloom filter

    Bloom_filter

  • Multiple kernel learning
  • Set of machine learning methods

    optimization methods. Adaptations of existing techniques such as the Sequential Minimal Optimization have also been developed for multiple kernel SVM-based

    Multiple kernel learning

    Multiple_kernel_learning

  • Nearest neighbor search
  • Optimization problem in computer science

    set". Pattern Recognition. 12 (4): 261–268. Bibcode:1980PatRe..12..261T. doi:10.1016/0031-3203(80)90066-7. A. Rajaraman & J. Ullman (2010). "Mining of Massive

    Nearest neighbor search

    Nearest_neighbor_search

  • Activity recognition
  • Recognition of events from videos or sensors

    mining approach based on discriminative patterns which describe significant changes between any two activity classes of data to recognize sequential,

    Activity recognition

    Activity_recognition

  • Yamaha Corporation
  • Japanese music and audio equipment maker

    1988, Yamaha shipped the world's first CD recorder. Yamaha purchased Sequential Circuits in 1988. It bought a majority stake (51%) of competitor Korg

    Yamaha Corporation

    Yamaha Corporation

    Yamaha_Corporation

  • Climate model
  • Quantitative methods used to simulate climate

    and are not simply due to random climate variability or natural weather patterns. There are three major types of institution where climate models are developed

    Climate model

    Climate model

    Climate_model

  • Gradient descent
  • Optimization algorithm

    unconstrained quadratic minimization, gradient descent develops a zig–zag pattern of subsequent iterates as iterations progress, resulting in slow convergence

    Gradient descent

    Gradient descent

    Gradient_descent

  • Intrusion detection system
  • Network protection device or software

    Machine (TIM) did anomaly detection using inductive learning of sequential user patterns in Common Lisp on a VAX 3500 computer. The Network Security Monitor

    Intrusion detection system

    Intrusion_detection_system

  • List of computer books
  • Tegmark – Life 3.0 Marcus Hutter – Universal Artificial Intelligence: Sequential Decisions Based on Algorithmic Probability Martin Ford (author) - Architects

    List of computer books

    List_of_computer_books

  • Nuclear winter
  • Hypothetical climatic effect of nuclear war

    matter such as corpses that froze during the nuclear winter. Another more sequential hypothetical scenario, following the settling out of most of the aerosols

    Nuclear winter

    Nuclear winter

    Nuclear_winter

  • Machine learning in bioinformatics
  • Software for understanding biological data

    J, Ziemert N, et al. (April 2015). "Molecular networking and pattern-based genome mining improves discovery of biosynthetic gene clusters and their products

    Machine learning in bioinformatics

    Machine_learning_in_bioinformatics

  • Transformer (deep learning)
  • Algorithm for modelling sequential data

    until the 2017 publication of transformers. However, LSTM still used sequential processing, like most other RNNs. Specifically, RNNs operate one token

    Transformer (deep learning)

    Transformer (deep learning)

    Transformer_(deep_learning)

  • List of datasets in computer vision and image processing
  • recognition". Proceedings of the 12th IAPR International Conference on Pattern Recognition (Cat. No.94CH3440-5). Vol. 2. IEEE Comput. Soc. Press. pp. 77–82

    List of datasets in computer vision and image processing

    List_of_datasets_in_computer_vision_and_image_processing

  • Principal component analysis
  • Method of data analysis

    useful to make an estimate of the PCA projection that can be updated sequentially. This can be done efficiently, but requires different algorithms. In

    Principal component analysis

    Principal component analysis

    Principal_component_analysis

  • Perceptron
  • Algorithm for supervised learning of binary classifiers

    incorporating time-delays to perceptron units, to allow for processing sequential data, analyzing audio (instead of images). The machine was shipped from

    Perceptron

    Perceptron

  • Diffusion model
  • Technique for the generative modeling of a continuous probability distribution

    video generation. These typically involve training a neural network to sequentially denoise images blurred with Gaussian noise. The model is trained to reverse

    Diffusion model

    Diffusion_model

  • History of television
  • field-sequential color TV (known as telectroescopía at first). His efforts began in 1931 and led to a Mexican patent for the "trichromatic field sequential

    History of television

    History of television

    History_of_television

  • Support vector machine
  • Set of methods for supervised statistical learning

    matrix is often used in the kernel trick. Another common method is Platt's sequential minimal optimization (SMO) algorithm, which breaks the problem down into

    Support vector machine

    Support_vector_machine

  • Protein structure prediction
  • Type of biological prediction

    and which should fit poorly at sequential positions in a known protein structure. Profile columns represent sequential positions in the structure, and

    Protein structure prediction

    Protein structure prediction

    Protein_structure_prediction

  • Parallel computing
  • Programming paradigm in which many processes are executed simultaneously

    particle hydrodynamics) Constraint satisfaction problems (CSPs) Data mining and pattern recognition Machine learning and deep learning training Ray tracing

    Parallel computing

    Parallel computing

    Parallel_computing

  • Universally unique identifier
  • 128-bit number used to identify information in computer systems

    variant|data_d and data_e are not byte-swapped. Variant 1 UUIDs are sequentially encoded in big-endian. For example, 00112233-4455-6677-8899-aabbccddeeff

    Universally unique identifier

    Universally unique identifier

    Universally_unique_identifier

  • Glossary of artificial intelligence
  • List of concepts in artificial intelligence

    exploratory data mining, and a common technique for statistical data analysis, used in many fields, including machine learning, pattern recognition, image

    Glossary of artificial intelligence

    Glossary_of_artificial_intelligence

  • Elite League (TV series)
  • South Korean television reality show

    a target pattern of 2 squares horizontally and 2 squares vertically is presented, you must find the area with the presented target pattern on the game

    Elite League (TV series)

    Elite_League_(TV_series)

  • Timeline of machine learning
  • Computer Programmer". Encyclopaedia Britannica. Langston, Nancy (2013). "Mining the Boreal North". American Scientist. 101 (2): 1. doi:10.1511/2013.101

    Timeline of machine learning

    Timeline_of_machine_learning

  • Phoenicia
  • Ancient Semitic maritime civilization

    Phoenician settlement, spanning from Cyprus to Morocco. This deliberate sequential sampling was an attempt to develop a methodology to link the documented

    Phoenicia

    Phoenicia

    Phoenicia

  • Volumetric display
  • 3D graphic display device

    one of several kinds of 3D displays. Other types are stereoscopes, view-sequential displays, electro-holographic displays, "two view" displays, and panoramagrams

    Volumetric display

    Volumetric display

    Volumetric_display

  • Learning classifier system
  • Paradigm of rule-based machine learning methods

    training dataset (characteristic of a data mining, classification, or regression problem), or an online sequential stream of live training instances. Each

    Learning classifier system

    Learning classifier system

    Learning_classifier_system

  • Theoretical computer science
  • Subfield of computer science and mathematics

    sometimes conflated with data mining, although that focuses more on exploratory data analysis. Machine learning and pattern recognition "can be viewed as

    Theoretical computer science

    Theoretical computer science

    Theoretical_computer_science

AI & ChatGPT searchs for online references containing SEQUENTIAL PATTERN-MINING

SEQUENTIAL PATTERN-MINING

AI search references containing SEQUENTIAL PATTERN-MINING

SEQUENTIAL PATTERN-MINING

  • PETTERI
  • Male

    Finnish

    PETTERI

    Finnish form of Greek Petros, PETTERI means "rock, stone." 

    PETTERI

  • Germany
  • Surname or Lastname

    English (eastern counties)

    Germany

    English (eastern counties) : apparently a variant of German.

    Germany

  • Mussett
  • Surname or Lastname

    English (eastern counties)

    Mussett

    English (eastern counties) : unexplained. Possibly a variant of Masset (see Massett).

    Mussett

  • Normie
  • Girl/Female

    German, Latin

    Normie

    Pattern

    Normie

  • Hattery
  • Surname or Lastname

    English or Irish

    Hattery

    English or Irish : unexplained.

    Hattery

  • Platten
  • Surname or Lastname

    English (Norfolk)

    Platten

    English (Norfolk) : diminutive of Platt 1.English (Norfolk) : metonymic occupational name for a platemaker, from Old French platon ‘metal plate’.

    Platten

  • Titlow
  • Surname or Lastname

    English (eastern counties)

    Titlow

    English (eastern counties) : unexplained.

    Titlow

  • Panter
  • Surname or Lastname

    German

    Panter

    German : habitational name for someone who lived at a house distinguished by the sign of a panther, Middle High German panter (see Panther 1).North German : occupational name for a mortager or pawn broker, from a contracted form of Pfandherr.English (mainly Northamptonshire) and Scottish : occupational name for a servant in charge of the supply of bread and other provisions in a monastery or large household, Middle English pan(e)ter (Old French panetier).

    Panter

  • Patton
  • Surname or Lastname

    English, northern Irish, and Scottish

    Patton

    English, northern Irish, and Scottish : from a pet form of the personal name Pate.The American general George Patton (1885–1945) was born in San Gabriel, CA, into a family with a long military tradition. His earliest American ancestor, Robert Patton, had emigrated from Scotland to VA c.1770.

    Patton

  • Hatter
  • Surname or Lastname

    English

    Hatter

    English : occupational name for a maker or seller of hats, Middle English hatter(e).

    Hatter

  • PETTER
  • Male

    Swedish

    PETTER

    Norwegian and Swedish form of Greek Petros, PETTER means "rock, stone." 

    PETTER

  • Paster
  • Surname or Lastname

    German

    Paster

    German : variant of Pastor 2.Jewish (eastern Ashkenazic) : occupational name from Polish pasterz ‘shepherd’.English : generally a variant of Pastor, but possibly in some cases an occupational name for a baker, from an agent derivative of Old French paste ‘paste or dough’.

    Paster

  • Patten
  • Boy/Male

    American, Australian, British, English, Latin

    Patten

    From the Warrior's Town

    Patten

  • Platter
  • Surname or Lastname

    English

    Platter

    English : variant of Platt or Plater.Scottish : habitational name from the Forest of Plater in Angus.German (Tyrol, Bavaria) : variant of Plattner 1.German : variant of Platner.

    Platter

  • Beeton
  • Surname or Lastname

    English (eastern England)

    Beeton

    English (eastern England) : variant of Beaton.

    Beeton

  • Patten
  • Surname or Lastname

    English

    Patten

    English : metonymic occupational name for a maker or seller of clogs, from Middle English paten ‘clog’ (Old French patin).English : variant spelling of Patton.

    Patten

  • Matters
  • Surname or Lastname

    English

    Matters

    English : variant of Matter.English : probably a metonymic occupational name for a mattress maker or seller, from Middle English, Old French materas, or less likely for a maker of crossbow bolts, spears, and lances, from the Middle English homonym materas.Dutch : variant of Matter 2.

    Matters

  • Rayment
  • Surname or Lastname

    English (eastern)

    Rayment

    English (eastern) : variant of Raymond.

    Rayment

  • Latter
  • Surname or Lastname

    English

    Latter

    English : occupational name for a worker in wood or a nickname for a thin person, from an agent derivative of Middle English latt ‘thin narrow strip of wood’, ‘lath’ (Old English lætt).Jewish (eastern Ashkenazic) : occupational name for a cobbler, tinker, or the like, from an agent derivative of Yiddish laten ‘to patch’, ‘to repair’.

    Latter

  • Patterson
  • Boy/Male

    Australian, Irish

    Patterson

    Son of Pattrick

    Patterson

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Online names & meanings

  • Soudah
  • Girl/Female

    Arabic

    Soudah

    Name of Prophet Muhammad Wife; Black; Proper Name

  • Queena
  • Girl/Female

    American, Australian, British, Christian, English, German, Teutonic

    Queena

    Queen; Female Companion; Royal; Wife of King; Highest Lady

  • Acharyatanya
  • Boy/Male

    Hindu, Indian

    Acharyatanya

    Son of the Teacher

  • Riyankshu | ரீயாந்க்ஷு
  • Boy/Male

    Tamil

    Riyankshu | ரீயாந்க்ஷு

  • XENON
  • Male

    Greek

    XENON

    (Ξένων) Greek name derived from the word xenos, XENON means "foreigner; stranger." 

  • Parkhouse
  • Surname or Lastname

    English (mainly Devon)

    Parkhouse

    English (mainly Devon) : topographic name for someone who lived in a house, such as a warden’s lodge, in a park (see Park 1), from Middle English parc + hous.

  • Prethula
  • Girl/Female

    Hindu

    Prethula

  • Hunaidah |
  • Girl/Female

    Muslim

    Hunaidah |

    Diminutive of Hind

  • Junna
  • Girl/Female

    Arabic, Australian, Finnish, Japanese, Muslim

    Junna

    Give Refuge

  • Addy
  • Boy/Male

    American, British, English, German, Hebrew, Teutonic

    Addy

    Ardent; Son of Adam; Son of the Red Earth; My Ornament; Awe-inspiring; Highborn

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Other words and meanings similar to

SEQUENTIAL PATTERN-MINING

AI search in online dictionary sources & meanings containing SEQUENTIAL PATTERN-MINING

SEQUENTIAL PATTERN-MINING

  • Pattern
  • n.

    Anything proposed for imitation; an archetype; an exemplar; that which is to be, or is worthy to be, copied or imitated; as, a pattern of a machine.

  • sentential
  • a.

    Of or pertaining to a sentence, or full period; as, a sentential pause.

  • Patter
  • v. t.

    To spatter; to sprinkle.

  • Patter
  • n.

    A quick succession of slight sounds; as, the patter of rain; the patter of little feet.

  • Pattern
  • v. t.

    To make or design (anything) by, from, or after, something that serves as a pattern; to copy; to model; to imitate.

  • Pattern
  • n.

    Figure or style of decoration; design; as, wall paper of a beautiful pattern.

  • Pattern
  • n.

    Stuff sufficient for a garment; as, a dress pattern.

  • Lantern
  • n.

    See Aristotle's lantern.

  • sentential
  • a.

    Comprising sentences; as, a sentential translation.

  • Patterned
  • imp. & p. p.

    of Pattern

  • Zittern
  • n.

    See Cittern.

  • Patter
  • v. i.

    To mutter; to mumble; as, to patter with the lips.

  • Pastern
  • n.

    A patten.

  • Pottern
  • a.

    Of or pertaining to potters.

  • Patter
  • v. i.

    To strike with a quick succession of slight, sharp sounds; as, pattering rain or hail; pattering feet.

  • Lantern
  • v. t.

    To furnish with a lantern; as, to lantern a lighthouse.

  • Pattered
  • imp. & p. p.

    of Patter

  • Pattern
  • n.

    Anything cut or formed to serve as a guide to cutting or forming objects; as, a dressmaker's pattern.

  • Pattering
  • p. pr. & vb. n.

    of Patter

  • Patter
  • n.

    The cant of a class; patois; as, thieves's patter; gypsies' patter.