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Process of analyzing large data sets
Data mining is the process of extracting and finding patterns in massive data sets involving methods at the intersection of machine learning, statistics
Data_mining
Query language
Data Mining Extensions (DMX) is a query language for data mining models supported by Microsoft's SQL Server Analysis Services product. Like SQL, it supports
Data_Mining_Extensions
Research field
Educational data mining (EDM) is a research field concerned with the application of data mining, machine learning and statistics to information generated
Educational_data_mining
Process of analysing text to extract information from it
Text mining, text data mining (TDM) or text analytics is the process of deriving high-quality information from text. It involves "the discovery by computer
Text_mining
Term in data mining and association rule learning
In data mining and association rule learning, lift is a measure of the performance of a targeting model (association rule) at predicting or classifying
Lift_(data_mining)
Open standard process model
standard process for data mining, known as CRISP-DM, is an open standard process model that describes common approaches used by data mining experts. It is the
Cross-industry standard process for data mining
Cross-industry_standard_process_for_data_mining
Disciplines of managing data as a resource
dashboard development, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics
Data_management
Evolutionary data mining, or genetic data mining is an umbrella term for any data mining using evolutionary algorithms. While it can be used for mining data from
Evolutionary_data_mining
Real-world applications of data mining
Data mining, the process of discovering patterns in large data sets, has been used in many applications. Drone monitoring and satellite imagery are some
Examples_of_data_mining
Oracle Data Mining (ODM) is an option of Oracle Database Enterprise Edition. It contains several data mining and data analysis algorithms for classification
Oracle_Data_Mining
Domain driven data mining is a data mining methodology for discovering actionable knowledge and deliver actionable insights from complex data and behaviors
Domain_driven_data_mining
Analysis of continuous, rapid data
Data stream mining (also known as stream learning) is the process of extracting knowledge structures from continuous, rapid data records. A data stream
Data_stream_mining
Relational data mining is the data mining technique for relational databases. Unlike traditional data mining algorithms, which look for patterns in a
Relational_data_mining
Java API
Data Mining (JDM) is a standard Java API for developing data mining applications and tools. JDM defines an object model and Java API for data mining objects
Java_Data_Mining
Wrapper in data mining is a procedure that extracts regular subcontent of an unstructured or loosely-structured information source and translates it into
Wrapper_(data_mining)
Field of study to extract knowledge from data
Learning and Data Mining changed its name to the Section on Statistical Learning and Data Science, reflecting the ascendant popularity of data science. The
Data_science
Journal
BioData Mining is a peer-reviewed open access scientific journal covering data mining methods applied to computational biology and medicine established
BioData_Mining
Unit of information
governance Data integrity Data maintenance Data management Data mining Data modeling Data point Data preservation Data protection Data publication Data remanence
Data
Group within the Association for Computing Machinery
Discovery and Data Mining, hosts an influential annual conference. The KDD Conference grew from KDD (Knowledge Discovery and Data Mining) workshops at
Special Interest Group on Knowledge Discovery and Data Mining
Special_Interest_Group_on_Knowledge_Discovery_and_Data_Mining
— deep learning framework Orange — machine learning, data mining, data visualization, and data analysis Scikit-learn — library built on top of NumPy
Lists of open-source artificial intelligence software
Lists_of_open-source_artificial_intelligence_software
Combining data from multiple sources
coherent data store that provides synchronous data across a network of files for clients. A common use of data integration is in data mining when analyzing
Data_integration
Cloud Platform LIONsolver Microsoft Analysis Services NetOwl Oracle Data Mining PSeven PolyAnalyst Qlucore RapidMiner SAS Enterprise Miner SPSS Modeler
List_of_data_science_software
artificial intelligence to extract meaningful insights from data. Data mining is a particular data analysis technique that focuses on statistical modeling
Data_analysis
Predictive model interchange format
by Robert Lee Grossman, then the director of the National Center for Data Mining at the University of Illinois at Chicago. PMML provides a way for analytic
Predictive Model Markup Language
Predictive_Model_Markup_Language
Data mining technique using event logs
Process mining is a family of techniques for analyzing event data to understand and improve operational processes. Part of the fields of data science
Process_mining
Subset of artificial intelligence
compose the foundations of machine learning. Data mining is a related field of study, focusing on exploratory data analysis (EDA) through unsupervised learning
Machine_learning
System to capture, manage, and present geographic data
restoration sites. GIS or spatial data mining is the application of data mining methods to spatial data. Data mining, which is the partially automated
Geographic_information_system
Restructuring data into a desired format
that data mining does not use it, there are many use cases for data wrangling in data mining. Data wrangling can benefit data mining by removing data that
Data_wrangling
Manipulation of data before it is analyzed
step in the data mining process. Data collection methods are often loosely controlled, resulting in out-of-range values, impossible data combinations, and
Data_preprocessing
Topics referred to by the same term
tactic Naval mining Data mining, the process of extracting knowledge from a data set Social media mining, extracting data from social media Mining (cryptocurrency)
Mining_(disambiguation)
NSA data storage facility
facility was designed to store a broad range of domestic communications for data mining without warrants. Documents leaked to the media in June 2013 described
Utah_Data_Center
Peer-reviewed scientific journal
Data Mining and Knowledge Discovery is a bimonthly peer-reviewed scientific journal focusing on data mining published by Springer Science+Business Media
Data Mining and Knowledge Discovery
Data_Mining_and_Knowledge_Discovery
Monitoring something for the purposes of influencing, protecting, or suppressing it
interception, closed-circuit television (CCTV) cameras, wiretapping, and data mining. Surveillance can unjustifiably violate people's privacy and is often
Surveillance
Visual representation of data
ideas and stimulating research. Data scientists, analysts and data mining specialists use data visualization to check data quality, find errors, unusual
Data and information visualization
Data_and_information_visualization
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
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
data are processed with text-mining. The main step in processing structured information is data-mining, which emerged in the late 1980s. Data mining involves
Patent_visualisation
Practice of completely wiping data from a storage medium
Preserving Data Mining (PPDM) is the process of data mining while maintaining privacy of sensitive material. Data mining involves analyzing large datasets to gain
Data_sanitization
Collection of data
authors. The Bupa liver data – Used in several papers in the machine learning (data mining) literature. Anscombe's quartet – Small data set illustrating the
Data_set
Difficulties arising when analyzing data with many aspects ("dimensions")
of the data. Dimensionally cursed phenomena occur in domains such as numerical analysis, sampling, combinatorics, machine learning, data mining and databases
Curse_of_dimensionality
Misuse of data analysis
data and only reporting those that come back with significant results. Thus data dredging is also often a misused or misapplied form of data mining.
Data_dredging
Centralized storage of knowledge
data mining. OLAP databases store aggregated, historical data in multi-dimensional schemas (usually star schemas). OLAP systems typically have a data
Data_warehouse
AI capabilities. In 2024, the UK government proposed a broad text and data mining (TDM) exception to copyright that would have allowed AI companies to
Copyright and artificial intelligence in the United Kingdom
Copyright_and_artificial_intelligence_in_the_United_Kingdom
Research area
Argument mining, or argumentation mining, is a research area within the natural language processing field. The goal of argument mining is the automatic
Argument_mining
Cognitive psychologist and entrepreneur
data mining” starting in the late 1990s and StatSoft’s STATISTICA Data Miner is now one of the widely used enterprise-level software systems for data
Pawel_Lewicki
Research process
The mining process relies on a huge amount of data (represented by DNA sequences and annotations) accessible in genomic databases. By applying data mining
Genome_mining
Data analysis techniques for fraud detection
Some of these methods include knowledge discovery in databases (KDD), data mining, machine learning and statistics. They offer applicable and successful
Data analysis for fraud detection
Data_analysis_for_fraud_detection
Finding and extracting information from semi-structured data sets
Structure mining or structured data mining is the process of finding and extracting useful information from semi-structured data sets. Graph mining, sequential
Structure_mining
Strategies for analysis and use of data
dashboard development, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics
Business_intelligence
Machine learning algorithm
tree learning is a supervised learning approach used in statistics, data mining and machine learning. In this formalism, a classification or regression
Decision_tree_learning
Programming language
at North Carolina State University. Its primary applications include data mining and machine learning. The SAS language runs under compilers such as the
SAS_language
Approach of analyzing data sets in statistics
Provide a basis for further data collection through surveys or experiments Many EDA techniques have been adopted into data mining. They are also being taught
Exploratory_data_analysis
Chinese-American computer scientist (born 1949)
data mining, text mining, database systems, information networks, data mining from spatiotemporal data, Web data, and social/information network data
Jiawei_Han
Concept in United States copyright law
transformed book text into data for purposes of substantive research, including data mining and text mining in new areas". Text and data mining was subject to further
Fair_use
Information without a formal data model
sentiment analysis, voice of the customer mining, and call center optimization. The emergence of Big Data in the late 2000s led to a heightened interest
Unstructured_data
Data mining practice
Cyborg data mining is the practice of collecting data produced by an implantable device that monitors bodily processes for commercial interests. As an
Cyborg_data_mining
NSA database of US telephone calls
broader national security analytical efforts and data mining. These efforts could involve analysts using the data to connect phone numbers with names and links
MAINWAY
Defunct American software company
DataSage, Inc. was an American company headquartered in Reading, Massachusetts, that offered a suite of data mining, personalization, clickstream, and
DataSage
Academic journal
International Journal of Data Warehousing and Mining (IJDWM) is a quarterly peer-reviewed academic journal covering data warehousing and data mining. It was established
International Journal of Data Warehousing and Mining
International_Journal_of_Data_Warehousing_and_Mining
American computer scientist
a speaker on Business Analytics, Data Mining, Data Science, and Big Data. He recently left his role as the chief data officer at Barclays Bank. Fayyad
Usama_Fayyad
Extremely large or complex datasets
data-mining activities. Targeting of consumers (for advertising by marketers) Data capture Data journalism: publishers and journalists use big data tools
Big_data
Management Review. 3 (2): 61–86. S2CID 107615183. Liu, B. (2011). Web Data Mining: Opinion Mining and Sentiment Analysis (2nd ed.). New York: Springer. Retrieved
Artificial intelligence in marketing
Artificial_intelligence_in_marketing
Study of computation
through database models and query languages. Data mining is a process of discovering patterns in large data sets. The philosopher of computing Bill Rapaport
Computer_science
Australian computer scientist
Professor in the Department of Data Science and Artificial Intelligence at Monash University, founder and director of Data Mining software development and consultancy
Geoff_Webb
Algorithms for matrix decomposition
problem which is known to be NP-complete. However, as in many other data mining applications, a local minimum may still prove to be useful. In addition
Non-negative matrix factorization
Non-negative_matrix_factorization
Density-based data clustering algorithm
received substantial attention in theory and practice) at the leading data mining conference, ACM SIGKDD. As of July 2020[update], the follow-up paper
DBSCAN
Programming language for statistics
statistical computing and data visualization. It has been widely adopted in the fields of data mining, bioinformatics, data analysis, and data science. The core
R_(programming_language)
Predictive chemical model
inspection (qualitative selection by a human); by data mining; or by molecule mining. A typical data mining based prediction uses e.g. support vector machines
Quantitative structure–activity relationship
Quantitative_structure–activity_relationship
Australian academic
University. He is known for his role in establishing the educational data mining scientific community, for the Baker Rodrigo Ocumpaugh Monitoring Protocol
Ryan_S._Baker
Top information processor in a corporation
utilization of information as an asset, via data processing, analysis, data mining, information trading and other means. CDOs usually report to the chief
Chief_data_officer
Computer program acting for a user
most common types of data mining, which finds patterns in information and categorizes them into different classes. Data mining agents can also detect
Software_agent
employees, the company specialized in data mining, data visualization, and business intelligence environments. Data Applied implements a collection of visualization
Data_Applied
Change of statistical properties over time
mappings, drift detectors are commonly used during evaluation. Data stream mining Data mining Snyk, a company whose portfolio includes drift detection in
Concept_drift
Branch of analytics
educational data mining (EDM) and learning analytics (LA) has been a concern of several researchers. George Siemens takes the position that educational data mining
Learning_analytics
Grouping a set of objects by similarity
The subtle differences are often in the use of the results: while in data mining, the resulting groups are the matter of interest, in automatic classification
Cluster_analysis
Measure of similarity
transform them into each other. It can be used in information retrieval and data mining for cluster analysis. We assume that the objects one talks about are
Normalized compression distance
Normalized_compression_distance
Knowledge discovery and data mining. ACM, 2001. Bay, Stephen D. (November 2001). "Multivariate Discretization for Set Mining". Knowledge and Information
List of datasets for machine-learning research
List_of_datasets_for_machine-learning_research
Textual emotion detection method
Sentiment analysis (also known as opinion mining) is the use of natural language processing, text analysis, computational linguistics, and biometrics to
Sentiment_analysis
Java software and development tools
data mining Yooreeka – machine learning Java Data Mining (JDM) – standard Java API for data mining Massive Online Analysis (MOA) – data stream mining
List of Java software and tools
List_of_Java_software_and_tools
Online media database
databases, enabling easier access to the entire dataset for searching or data mining. On October 21, 2021, the site added the ability to add podcasts (both
IMDb
Concept in machine learning
(2008). "9". Data Mining: Know it All. Morgan Kaufmann Publishers. p. 383. ISBN 978-0-12-374629-0. Anachronistic variables are a pernicious mining problem
Leakage_(machine_learning)
Type of database that uses vectors to represent other data
vector search engine is a database that stores and retrieves embeddings of data in vector space. Vector databases typically implement approximate nearest
Vector_database
Extraction of valuable minerals or other geological materials from the Earth
Mining is the extraction of geological materials and minerals from Earth's surface. Mining is required to obtain most materials that cannot be grown through
Mining
Insular information management system
architecture, or in the data architecture of a data system. Such data silos are proving an obstacle for businesses wishing to use data mining to make productive
Information_silo
Interdisciplinary field of study
development, data modeling, astronomical data dictionary development, data access, information retrieval, data integration, and data mining in the astronomical
Astroinformatics
Algorithm in data mining
statistics and data mining, affinity propagation (AP) is a clustering algorithm based on the concept of "message passing" between data points. Unlike
Affinity_propagation
ADaMSoft – a generalized statistical software with data mining algorithms and methods for data management ADMB – a software suite for non-linear statistical
List_of_statistical_software
Computer scientist
networks and data mining. He was elevated to IEEE Fellow in 2021 "for contributions to knowledge discovery from data and social network mining". He was elevated
Jie_Tang
library in C++ See List of open-source machine learning software See Data Mining below See R programming language – packages of statistical learning and
List of free and open-source software packages
List_of_free_and_open-source_software_packages
Audio mining is a technique by which the content of an audio signal can be automatically analyzed and searched. It is most commonly used in the field of
Audio_mining
Application of statistical techniques
involve aspects of artificial intelligence and statistics, such as data mining and text mining. Because artifacts are typically a loosely structured sequence
Concept_mining
Semantic Suite - graph-based text mining platform. RapidMiner with its Text Processing Extension – data and text mining software. SAS – SAS Text Miner and
List_of_text_mining_software
Data science software
data analytics, reporting and integrating platform. KNIME integrates various components for machine learning and data mining through its modular data
KNIME
List of academic journals in data science
Biomedical Data Science BioData Mining BMC Bioinformatics Computational Statistics & Data Analysis Data & Knowledge Engineering Data Mining and Knowledge
List_of_data_science_journals
Interdisciplinary degree program
insights from data in various forms, either structured or unstructured, similar to data mining. As an area of expertise and field, data science is defined
Master_in_Data_Science
Legal issues regarding the collection and dissemination of data
The advent of various search engines and the use of data mining created a capability for data about individuals to be collected and combined from a
Information_privacy
Method of extracting data from websites
used as a component of applications used for web indexing, web mining and data mining, online price change monitoring and price comparison, product review
Web_scraping
Greek computer scientist
His research interests include data mining and tensor decomposition, crossing the fields of signal processing and data science. Papalexakis worked for
Evangelos_Papalexakis
Method for discovering interesting relations between variables in databases
typically made from rules that are well represented by the data. There are many different data mining techniques you could use to find certain analytics and
Association_rule_learning
Scientific journal
sharing, and analytics; big data technologies; data visualization; architectures for massively parallel processing; data mining tools and techniques; machine
Journal_of_Big_Data
DATA MINING
DATA MINING
Girl/Female
Hindu
A creeper
Female
Russian
 Short form of Russian Yekaterina, KATA means "pure." Compare with other forms of Kata.
Female
Polish
Short form of Polish Edyta, DYTA means "rich battle."
Male
Hebrew
(דֶּרַע) Hebrew name DARA means "the arm." In the bible, this is the name of a son of Zerah. Compare with other forms of Dara.
Male
Turkish
Turkish name ATA means "ancestor."
Female
Hebrew
(דִּיתָה) Pet form of Hebrew Yehuwdiyth, DITA means "Jewess" or "praised." Compare with another form of Dita.
Female
English
 English surname transferred to unisex forename use, possibly DANA means "from Denmark." Compare with other forms of Dana.
Female
Hebrew
(×“Ö¼Ö¸× Ö¸×”) Feminine form of Hebrew Dan, DANA means "judge." Compare with other forms of Dana.
Female
Slavic
 Short form of Slavic Bogdana, DANA means "gift from God." Compare with other forms of Dana.
Female
Hindi/Indian
(लता) Hindi name derived from a plant name, from the Sanskrit word lata, LATA means "creeper," in reference to a creeping plant.
Female
Polish
 Variant spelling of Polish Dyta, DITA means "rich battle." Compare with another form of Dita.
Male
English
English surname transferred to unisex forename use, possibly DANA means "from Denmark."
Female
Finnish
 Short form of Finnish Katariina, KATA means "pure." Compare with other forms of Kata.
Male
Hebrew
Variant spelling of Hebrew Dathan, DATAN means "belonging to a fountain."
Female
Hungarian
 Short form of Hungarian Katalin, KATA means "pure." Compare with other forms of Kata.
Male
Iranian/Persian
 Short form of Persian Dârayavahush, DARA means "possesses a lot, wealthy." Compare with other forms of Dara.
Male
Irish
 From Irish Gaelic Mac Dara, DARA means "son of oak." Compare with other forms of Dara.
Female
Finnish
Variant form of Finnish Aada, AATA means "noble."
Female
English
 Middle English name DARA means "brave, daring." Compare with another form of Dara.
Male
Irish
Irish Gaelic name MAC DARA means "son of oak." This is the name of a patron saint and is still common in Ireland, especially in Connemara.
DATA MINING
DATA MINING
Girl/Female
Hindu
Emanating from the lotus
Girl/Female
Muslim
Young, Female gazelle
Boy/Male
Hindu
Boy/Male
African, Hindu, Indian, Kannada, Swahili, Telugu
Fruit
Boy/Male
Indian, Punjabi, Sikh
Elixir of God's Love
Girl/Female
Hindu, Indian
The Earth
Female
Cornish
, twin.
Girl/Female
Arabic, Muslim
Butterfly
Boy/Male
Tamil
Abiheshan | அபீஹேஷாந
Surname or Lastname
English and Scottish
English and Scottish : variant spelling of Pottinger.
DATA MINING
DATA MINING
DATA MINING
DATA MINING
DATA MINING
n.
Prior date; a date antecedent to another which is the actual date.
n.
Given or assigned length of life; dyration.
v. i.
To have beginning; to begin; to be dated or reckoned; -- with from.
n.
That addition to a writing, inscription, coin, etc., which specifies the time (as day, month, and year) when the writing or inscription was given, or executed, or made; as, the date of a letter, of a will, of a deed, of a coin. etc.
imp. & p. p.
of Date
a.
Without date; having no fixed time.
a.
Being out of date; antiquated.
v. t.
To date erroneously.
n. pl.
See Datum.
a.
Erroneous in date; containing an anachronism.
v. t.
To note or fix the time of, as of an event; to give the date of; as, to date the building of the pyramids.
n.
Assigned end; conclusion.
v. t.
To note the time of writing or executing; to express in an instrument the time of its execution; as, to date a letter, a bond, a deed, or a charter.
p. pr. & vb. n.
of Date
n.
A New Zealand forest tree (Metrosideros robusta), also, its hard dark red wood, used by the Maoris for paddles and war clubs.
n.
Death; decease; the date of one's death.
n.
The point of time at which a transaction or event takes place, or is appointed to take place; a given point of time; epoch; as, the date of a battle.
pl.
of Datum
n.
The fruit of the date palm; also, the date palm itself.