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DATA MINING-EXTENSIONS

  • Data Mining Extensions
  • 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

    Data_Mining_Extensions

  • Data mining
  • 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

    Data_mining

  • DMX (disambiguation)
  • Topics referred to by the same term

    of enterprise storage arrays by EMC Corporation Data Mining Extensions, a query language for data mining models DMX, a protocol for fracture modeling in

    DMX (disambiguation)

    DMX_(disambiguation)

  • Oracle 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

    Oracle_Data_Mining

  • Structure mining
  • 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

    Structure_mining

  • Data stream 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

    Data_stream_mining

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

    Darkforest Dartmouth workshop DarwinTunes Data Mining Extensions Data exploration Data pre-processing Data stream clustering Dataiku Davies–Bouldin index

    Outline of machine learning

    Outline_of_machine_learning

  • Weka (software)
  • Suite of machine learning software written in Java

    book "Data Mining: Practical Machine Learning Tools and Techniques". Weka contains a collection of visualization tools and algorithms for data analysis

    Weka (software)

    Weka (software)

    Weka_(software)

  • OLAP cube
  • Multidimensional data array organized for rapid analysis

    Business intelligence Comparison of OLAP servers Data cube Data mart Data mining Data Mining Extensions Fast Analysis of Shared Multidimensional Information

    OLAP cube

    OLAP cube

    OLAP_cube

  • AdGuard
  • Ad blocking and privacy protection for everyone software

    Quantum Extensions" Archived September 22, 2019, at the Wayback Machine, PC Magazine, February 12, 2018 James A. Martin "The best Google Chrome extensions" Archived

    AdGuard

    AdGuard

    AdGuard

  • Outline of databases
  • Overview of and topical guide to databases

    information, or in other words, online analytical processing. Data Mining Extensions (DMX) – MultiDimensional eXpressions (MDX) – XML for Analysis (XMLA)

    Outline of databases

    Outline_of_databases

  • Machine learning
  • 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

    Machine_learning

  • KNIME
  • Data science software

    data analytics, reporting and integrating platform. KNIME integrates various components for machine learning and data mining through its modular data

    KNIME

    KNIME

    KNIME

  • Process mining
  • 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

    Process_mining

  • List of filename extensions (A–E)
  • This alphabetical list of filename extensions contains extensions of notable file formats used by multiple notable applications or services. Contents 0-9

    List of filename extensions (A–E)

    List_of_filename_extensions_(A–E)

  • Predictive Model Markup Language
  • 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

  • Orange (software)
  • Open-source data analysis software

    open-source data visualization, machine learning and data mining toolkit. It features a visual programming front-end for exploratory qualitative data analysis

    Orange (software)

    Orange (software)

    Orange_(software)

  • DBSCAN
  • Density-based data clustering algorithm

    difficult. See the section below on extensions for algorithmic modifications to handle these issues. Every data mining task has the problem of parameters

    DBSCAN

    DBSCAN

  • Web scraping
  • 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

    Web_scraping

  • Data center
  • Facility used to house computer servers

    in cryptocurrency mining, where fleets of mobile data centers are transported to take advantage of cheaper sources of energy. Data centers have their

    Data center

    Data center

    Data_center

  • Well-known URI
  • Uniform address for services on a website

    (February 6, 2013). Locating Services for Calendaring Extensions to WebDAV (CalDAV) and vCard Extensions to WebDAV (CardDAV). IETF. doi:10.17487/RFC6764. RFC

    Well-known URI

    Well-known URI

    Well-known_URI

  • Cluster analysis
  • Grouping a set of objects by similarity

    WWW. Huang, Z. (1998). "Extensions to the k-means algorithm for clustering large data sets with categorical values". Data Mining and Knowledge Discovery

    Cluster analysis

    Cluster analysis

    Cluster_analysis

  • 2010 Copiapó mining accident
  • Cave-in and miner rescue in Atacama Region, Chile

    A mining accident began on 5 August 2010 with a cave-in at the San José copper–gold mine in the Atacama Desert, 45 kilometers (28 mi) north of the regional

    2010 Copiapó mining accident

    2010 Copiapó mining accident

    2010_Copiapó_mining_accident

  • Metadata
  • Data about other data

    as well as databases, dimensions, measures, and data mining models. Technical metadata defines the data model and the way it is displayed for the users

    Metadata

    Metadata

    Metadata

  • List of Java software and tools
  • 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

  • Big data
  • 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

    Big data

    Big_data

  • Keyword Services Platform
  • Keyword research tool

    support. The results are similar to those available through the Data Mining Extensions (DMX) in SQL. Score represents the confidence or probability; support

    Keyword Services Platform

    Keyword_Services_Platform

  • Association rule learning
  • 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

    Association_rule_learning

  • List of text mining software
  • Semantic Suite - graph-based text mining platform. RapidMiner with its Text Processing Extensiondata and text mining software. SAS – SAS Text Miner and

    List of text mining software

    List_of_text_mining_software

  • Database
  • Organized collection of data in computing

    compared with ACNielsen data. Some basic and essential components of data warehousing include extracting, analyzing, and mining data, transforming, loading

    Database

    Database

    Database

  • Decision tree learning
  • 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

    Decision_tree_learning

  • Triplet loss
  • Function for machine learning algorithms

    functions considered for BERT fine-tuning in the SBERT architecture. Other extensions involve specifying multiple negatives (multiple negatives ranking loss)

    Triplet loss

    Triplet loss

    Triplet_loss

  • Microsoft Analysis Services
  • Online analytical processing (OLAP) and data mining tool in Microsoft SQL Server

    Analysis Services (SSAS) is an online analytical processing (OLAP) and data mining tool in Microsoft SQL Server. SSAS is used as a tool by organizations

    Microsoft Analysis Services

    Microsoft_Analysis_Services

  • Adani Group
  • Indian multinational conglomerate

    include sea and airport management, electricity generation and transmission, mining, natural gas, food, weapons, and infrastructure. It is particularly active

    Adani Group

    Adani Group

    Adani_Group

  • SAS language
  • 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

    SAS_language

  • ELKI
  • Data mining framework

    for Developing KDD-Applications Supported by Index-Structures) is a data mining (KDD, knowledge discovery in databases) software framework developed

    ELKI

    ELKI

    ELKI

  • Deep sea mining
  • Mineral extraction from the ocean floor

    Deep sea mining is the extraction of minerals from the seabed of the deep sea. The main ores of commercial interest are polymetallic nodules, which are

    Deep sea mining

    Deep sea mining

    Deep_sea_mining

  • Rakesh Agrawal (computer scientist)
  • Indian computer scientist

    well known for developing fundamental data mining concepts and technologies and pioneering key concepts in data privacy, including Hippocratic Database

    Rakesh Agrawal (computer scientist)

    Rakesh_Agrawal_(computer_scientist)

  • Wikidata
  • Collaborative multilingual knowledge graph

    is a wiki powered by the software MediaWiki, including its extension for semi-structured data, the Wikibase. As of early 2025, Wikidata had 1.65 billion

    Wikidata

    Wikidata

    Wikidata

  • IEEE 1849
  • XML format for the interchange of high volume event data

    event data (e.g., for process mining)". In 2023, the standard has been revised in and superseded by the IEEE Standard 1849-2023. Process mining aims to

    IEEE 1849

    IEEE_1849

  • R (programming language)
  • 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)

    R (programming language)

    R_(programming_language)

  • Anomaly detection
  • Approach in data analysis

    detection between statistical reasoning and data mining algorithms" (PDF). Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 8 (6) e1280

    Anomaly detection

    Anomaly_detection

  • China University of Mining and Technology
  • Public university in Xuzhou, Jiangsu, China

    The China University of Mining and Technology (CUMT; 中国矿业大学) is a public university located in Xuzhou, Jiangsu, China. It is affiliated with the Ministry

    China University of Mining and Technology

    China_University_of_Mining_and_Technology

  • Molecule mining
  • Data mining for patterns in molecule data

    Molecule mining is the process of data mining, or extracting and discovering patterns, as applied to molecules. Since molecules may be represented by molecular

    Molecule mining

    Molecule_mining

  • GridFTP
  • File transfer protocol for grid computing

    "Research data management simplified. | globus". www.globus.org. Retrieved 2020-06-09. Allcock, W. (April 2003). "GridFTP: Protocol Extensions to FTP for

    GridFTP

    GridFTP

  • WINEPI
  • Algorithm for data mining

    In data mining, the WINEPI algorithm is an influential algorithm for episode mining, which helps discover the knowledge hidden in an event sequence. WINEPI

    WINEPI

    WINEPI

  • Data Version Control (software)
  • Open source version system

    associated extensions including the DVC Extension for VS Code and DVCLive. There are several open source projects that provide similar data version control

    Data Version Control (software)

    Data Version Control (software)

    Data_Version_Control_(software)

  • Apriori algorithm
  • Data-mining algorithm

    groups of candidates are tested against the data. The algorithm terminates when no further successful extensions are found. Apriori uses breadth-first search

    Apriori algorithm

    Apriori_algorithm

  • File format
  • Structure of information stored on a computer

    systems support longer extensions. Since there is no standardized list of extensions, more than one format can use the same extension – especially for three-letter

    File format

    File_format

  • Spatiotemporal database
  • Database managing time and space information

    with spatial extensions, spatiotemporal databases are not based on the relational model for practical reasons, chiefly among them that the data is multi-dimensional

    Spatiotemporal database

    Spatiotemporal_database

  • Coal in Australia
  • Emissions". Our World in Data. Leyton-Flor, Samy Andres; Sangha, Kamaljit (1 March 2024). "The socio-ecological impacts of mining on the well-being of Indigenous

    Coal in Australia

    Coal in Australia

    Coal_in_Australia

  • Alpha algorithm
  • Process mining algorithm

    The α-algorithm or α-miner is an algorithm used in process mining, aimed at reconstructing causality from a set of sequences of events. It was first put

    Alpha algorithm

    Alpha_algorithm

  • MinHash
  • Data mining technique

    In computer science and data mining, MinHash (or the min-wise independent permutations locality sensitive hashing scheme) is a technique for quickly estimating

    MinHash

    MinHash

  • MAINWAY
  • 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

    MAINWAY

    MAINWAY

  • Mining industry of South Africa
  • African mining industry employs 493,000 workers. The industry represents 18% of South Africa's $588 billion USD Gross Domestic Product. In 2025, data compiled

    Mining industry of South Africa

    Mining industry of South Africa

    Mining_industry_of_South_Africa

  • MonetDB
  • Open source column-oriented relational database management system

    data mining, geographic information system (GIS), Resource Description Framework (RDF), text retrieval and sequence alignment processing. Data mining

    MonetDB

    MonetDB

  • Relief (feature selection)
  • Feature selection algorithm used in binary classification

    make them robust to incomplete (i.e. missing) data. To date, the development of RBA variants and extensions has focused on four areas; (1) improving performance

    Relief (feature selection)

    Relief_(feature_selection)

  • L-diversity
  • Process for anonymizing data

    mining algorithms in order to gain some privacy. The l-diversity model is an extension of the k-anonymity model which reduces the granularity of data

    L-diversity

    L-diversity

  • Mining scams in India
  • Mining scams in India (colloquially known as the Indian mining scam) refer to a series of alleged widespread scams in various ore-rich states of India

    Mining scams in India

    Mining_scams_in_India

  • Geographic information system
  • 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

    Geographic information system

    Geographic_information_system

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

    List of algorithms

    List_of_algorithms

  • Local outlier factor
  • Algorithm for anomaly detection

    (1999). "OPTICS-OF: Identifying Local Outliers" (PDF). Principles of Data Mining and Knowledge Discovery. Lecture Notes in Computer Science. Vol. 1704

    Local outlier factor

    Local_outlier_factor

  • Importer (computing)
  • Video game development tool

    or application that does the converse of an importer. Data scraping Web scraping Report mining Mashup (web application hybrid) Metadata Comparison of

    Importer (computing)

    Importer_(computing)

  • Topic model
  • Topical clustering method

    large collections of unstructured text and other forms of big data. Beyond text mining, topic models have also been used to uncover latent structures

    Topic model

    Topic_model

  • C4.5 algorithm
  • Algorithm for making decision trees

    Algorithms in Data Mining pre-eminent paper published by Springer LNCS in 2008. C4.5 builds decision trees from a set of training data in the same way

    C4.5 algorithm

    C4.5_algorithm

  • Blantyre mining disaster
  • 1877 industrial accident in Scotland

    The Blantyre mining disaster, which happened on the morning of 22 October 1877, in Blantyre, Scotland, was Scotland's worst ever mining accident. Pits

    Blantyre mining disaster

    Blantyre_mining_disaster

  • Bauxite
  • Sedimentary rock rich in aluminium

    within 1 to 20 metres (3 ft 3 in to 65 ft 7 in) of the earths surface. Strip mining is the most common technique used for extracting shallow bauxite. This process

    Bauxite

    Bauxite

    Bauxite

  • Mining in the United Kingdom
  • Overview of the mining industry in the UK

    Mining in the United Kingdom produces a wide variety of fossil fuels, metals, and industrial minerals due to its complex geology. In 2013, there were over

    Mining in the United Kingdom

    Mining in the United Kingdom

    Mining_in_the_United_Kingdom

  • Cagraray
  • Island in Albay, Philippines

    authorities tried to exclude it from marble mining operations in line with Republic Act 7942 or the Philippine Mining Act of 1995. Various archaeological relics

    Cagraray

    Cagraray

    Cagraray

  • Ministry of Mines (India)
  • Government ministry of India

    exploring for minerals (other than natural gas and petroleum) that are used in mining and metallurgy. It searches for non-ferrous metals including: aluminium

    Ministry of Mines (India)

    Ministry of Mines (India)

    Ministry_of_Mines_(India)

  • Mineral industry of Somalia
  • commercial activity. Gold mining is done through surface panning by women and children who collect gold from the ground, and deep pit mining by unskilled miners

    Mineral industry of Somalia

    Mineral_industry_of_Somalia

  • Startpage
  • Privacy-focused search engine

    you around, recommending products you've already bought. And no more data mining by companies with dubious intentions. We want you to dance like nobody's

    Startpage

    Startpage

    Startpage

  • Information explosion
  • Rapid increase in the amount of published information or data

    knowledge from an overabundance of electronic information (e.g., data fusion may help in data mining) have existed since the 1970s. Another common technique to

    Information explosion

    Information_explosion

  • NetMiner
  • Application software

    Unstructured Data Graph Analytics / Social Network Analysis Machine Learning(M/L) & XAI Graph Machine Learning(GML): Graph Neural Network Text Mining: Natural

    NetMiner

    NetMiner

    NetMiner

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

    models data as generated by a diffusion process, whereby a new datum performs a random walk with drift through the space of all possible data. A trained

    Diffusion model

    Diffusion_model

  • Oversampling and undersampling in data analysis
  • Statistical sampling techniques

    and 1. Add this to the current data point to create the new, synthetic data point. Many modifications and extensions have been made to the SMOTE method

    Oversampling and undersampling in data analysis

    Oversampling_and_undersampling_in_data_analysis

  • Formal concept analysis
  • Method of deriving an ontology

    concept analysis finds practical application in fields including data mining, text mining, machine learning, knowledge management, semantic web, software

    Formal concept analysis

    Formal_concept_analysis

  • SMART criteria
  • Mnemonic, giving criteria to guide in the setting of objectives

    criteria, enhancing its versatility and application. Examples of these extensions are: SMARTER Evaluated and reviewed Evaluate consistently and recognize

    SMART criteria

    SMART criteria

    SMART_criteria

  • Kütralkura
  • Geopark in southern Chile's Araucanía Region

    template for a similar initiative in Palena Province. "Eleven sites and extensions in Asia, Europe, and South America receive UNESCO Global Geopark Label"

    Kütralkura

    Kütralkura

    Kütralkura

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

    Robert; Friedman, Jerome (2008). The Elements of Statistical Learning : Data Mining, Inference, and Prediction (Second ed.). New York: Springer. p. 134.

    Support vector machine

    Support_vector_machine

  • Time series
  • Sequence of data points over time

    engineering it is used for signal detection. Other applications are in data mining, pattern recognition and machine learning, where time series analysis

    Time series

    Time series

    Time_series

  • 2025–2026 United States trade war with Canada and Mexico
  • Economic conflict since 2025

    States's economy. In the first nine months of 2024, Canadian government data estimated that CA$800 billion (US$550 billion) of goods crossed the Canada–U

    2025–2026 United States trade war with Canada and Mexico

    2025–2026_United_States_trade_war_with_Canada_and_Mexico

  • Knowledge graph
  • Type of knowledge base

    combined its annual international conferences on "Big Knowledge" and "Data Mining and Intelligent Computing" into the International Conference on Knowledge

    Knowledge graph

    Knowledge graph

    Knowledge_graph

  • Online analytical processing
  • Processing mode

    intelligence, which also encompasses relational databases, report writing and data mining. Typical applications of OLAP include business reporting for sales, marketing

    Online analytical processing

    Online_analytical_processing

  • Non-negative matrix factorization
  • Algorithms for matrix decomposition

    of arbitrary order. This extension may be viewed as a non-negative counterpart to, e.g., the PARAFAC model. Other extensions of NMF include joint factorization

    Non-negative matrix factorization

    Non-negative_matrix_factorization

  • Mineral industry of Kazakhstan
  • of metals from domestic and imported raw materials. In 2005, its metal mining sector produced bauxite, chromite, copper, iron, lead, manganese, and zinc

    Mineral industry of Kazakhstan

    Mineral_industry_of_Kazakhstan

  • Pentaho
  • Business intelligence software

    information dashboards, data mining and extract, transform, load (ETL) capabilities. Pentaho was acquired by Hitachi Data Systems in 2015 and in 2017 became

    Pentaho

    Pentaho

    Pentaho

  • Huarón Mining District
  • Polymetallic deposit cluster

    76°26′00″W / 11.01667°S 76.43333°W / -11.01667; -76.43333 The Huarón Mining District is one of the richest polymetallic (Zn-Pb-Ag-Cu-(Au)) deposit clusters

    Huarón Mining District

    Huarón Mining District

    Huarón_Mining_District

  • Climate change
  • Human-caused changes to climate on Earth

    Vuuren, D.P. P. (2011). "The RCP greenhouse gas concentrations and their extensions from 1765 to 2300". Climatic Change. 109 (1–2): 213–241. Bibcode:2011ClCh

    Climate change

    Climate change

    Climate_change

  • MIPS architecture
  • Instruction set architecture

    number of optional architectural extensions, which are collectively referred to as application-specific extensions (ASEs). These ASEs provide features

    MIPS architecture

    MIPS_architecture

  • Sago Mine disaster
  • 2006 coal mine explosion

    trapped 13 miners for nearly two days; only one survived. It was the worst mining disaster in the United States since the Jim Walter Resources Mine disaster

    Sago Mine disaster

    Sago Mine disaster

    Sago_Mine_disaster

  • String (computer science)
  • Sequence of characters, data type

    algorithms Parsing a string Sequence mining Advanced string algorithms often employ complex mechanisms and data structures, among them suffix trees and

    String (computer science)

    String (computer science)

    String_(computer_science)

  • SPSS
  • Statistical analysis software

    Nonparametric Data Analysis for Social Research: IBM SPSS. LAP Academic Publishing. ISBN 978-6200118721. "KDnuggets Annual Software Poll: Analytics/Data mining software

    SPSS

    SPSS

  • Mining Museum Příbram
  • Museum in Czech Republic

    Mining Museum Příbram (Czech: Hornické muzeum Příbram) is a large open-air museum of mining with historical buildings and expositions of mining history

    Mining Museum Příbram

    Mining Museum Příbram

    Mining_Museum_Příbram

  • Cobalt
  • Chemical element with atomic number 27 (Co)

    GlobalData (17 January 2025). "Global cobalt supply to surpass 300kt mark in 2024, driven by production from the DRC and Indonesia". Mining Technology

    Cobalt

    Cobalt

    Cobalt

  • GPT-4
  • 2023 text-generating language model

    hallucinate, meaning that the outputs may include information not in the training data or that contradicts the user's prompt. GPT-4 also lacks transparency in its

    GPT-4

    GPT-4

  • DBT
  • Topics referred to by the same term

    Denmark data build tool (dbt), a data analytics tool .dbt, the extension of a DBase file format DBT (gene) DBT Online Inc. a US data mining company Department

    DBT

    DBT

  • Microsoft SQL Server
  • Family of database software by Microsoft

    services-specific extensions and project types, including tools, controls and projects for reports (using Reporting Services), Cubes and data mining structures

    Microsoft SQL Server

    Microsoft_SQL_Server

  • Geosoft
  • Canadian software company

    economic mineral deposits for mining. Target for ArcGIS is an ArcGIS extension that processes exploration drilling data and generates maps for presentation

    Geosoft

    Geosoft

  • Røros (town)
  • Town in Trøndelag, Norway

    060/sq mi). The mining town of Røros is sometimes called Bergstaden, which means "the rock town", due to its historical copper mining. It is one of two

    Røros (town)

    Røros (town)

    Røros_(town)

AI & ChatGPT searchs for online references containing DATA MINING-EXTENSIONS

DATA MINING-EXTENSIONS

AI search references containing DATA MINING-EXTENSIONS

DATA MINING-EXTENSIONS

  • DANA
  • Female

    Hebrew

    DANA

    (דָּנָה) Feminine form of Hebrew Dan, DANA means "judge." Compare with other forms of Dana.

    DANA

  • KATA
  • Female

    Finnish

    KATA

     Short form of Finnish Katariina, KATA means "pure." Compare with other forms of Kata.

    KATA

  • KATA
  • Female

    Hungarian

    KATA

     Short form of Hungarian Katalin, KATA means "pure." Compare with other forms of Kata.

    KATA

  • Minnu
  • Girl/Female

    Hindu, Indian, Telugu

    Minnu

    Sky; Shining

    Minnu

  • LATA
  • Female

    Hindi/Indian

    LATA

    (लता) Hindi name derived from a plant name, from the Sanskrit word lata, LATA means "creeper," in reference to a creeping plant.

    LATA

  • DITA
  • Female

    Hebrew

    DITA

    (דִּיתָה) Pet form of Hebrew Yehuwdiyth, DITA means "Jewess" or "praised." Compare with another form of Dita.

    DITA

  • KATA
  • Female

    Russian

    KATA

     Short form of Russian Yekaterina, KATA means "pure." Compare with other forms of Kata.

    KATA

  • DATAN
  • Male

    Hebrew

    DATAN

    Variant spelling of Hebrew Dathan, DATAN means "belonging to a fountain."

    DATAN

  • DARA
  • Male

    Hebrew

    DARA

    (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.

    DARA

  • DITA
  • Female

    Polish

    DITA

     Variant spelling of Polish Dyta, DITA means "rich battle." Compare with another form of Dita.

    DITA

  • DANA
  • Female

    Slavic

    DANA

     Short form of Slavic Bogdana, DANA means "gift from God." Compare with other forms of Dana.

    DANA

  • DARA
  • Male

    Irish

    DARA

     From Irish Gaelic Mac Dara, DARA means "son of oak." Compare with other forms of Dara.

    DARA

  • DARA
  • Male

    Iranian/Persian

    DARA

     Short form of Persian Dârayavahush, DARA means "possesses a lot, wealthy." Compare with other forms of Dara.

    DARA

  • AATA
  • Female

    Finnish

    AATA

    Variant form of Finnish Aada, AATA means "noble."

    AATA

  • DANA
  • Female

    English

    DANA

     English surname transferred to unisex forename use, possibly DANA means "from Denmark." Compare with other forms of Dana.

    DANA

  • DANA
  • Male

    English

    DANA

    English surname transferred to unisex forename use, possibly DANA means "from Denmark."

    DANA

  • DARA
  • Female

    English

    DARA

     Middle English name DARA means "brave, daring." Compare with another form of Dara.

    DARA

  • Vining
  • Surname or Lastname

    English

    Vining

    English : habitational name for someone from a place called Fyning in Rogate in Sussex.

    Vining

  • ATA
  • Male

    Turkish

    ATA

    Turkish name ATA means "ancestor."

    ATA

  • DYTA
  • Female

    Polish

    DYTA

    Short form of Polish Edyta, DYTA means "rich battle."

    DYTA

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Online names & meanings

  • Sidhanath
  • Boy/Male

    Hindu

    Sidhanath

    Lord Shiva

  • Mellish
  • Surname or Lastname

    English

    Mellish

    English : habitational name from Melhuish in Devon, so called from Old English mǣl(e) ‘brightly colored’, ‘flowery’ + hīwisc ‘hide’ (a measurement of land).Scottish : variant of Mellis 2.

  • Prabhroop
  • Girl/Female

    Indian, Sikh

    Prabhroop

    Image of God

  • Shakeela | شاکیلا
  • Girl/Female

    Muslim

    Shakeela | شاکیلا

    Beautiful, Pretty

  • Leorad
  • Boy/Male

    Dutch, German, Teutonic

    Leorad

    Bold for his People

  • Sunandini | ஸுநஂதிநீ
  • Girl/Female

    Tamil

    Sunandini | ஸுநஂதிநீ

    Happy, Very pleasing

  • Kripashankar
  • Boy/Male

    Hindu, Indian

    Kripashankar

    Have Blessing of Lord Shiv

  • KELLY
  • Male

    English

    KELLY

    Anglicized unisex form of Irish Gaelic Ceallach, KELLY means "bright-headed."

  • Vidhyasri
  • Girl/Female

    Hindu, Indian, Tamil

    Vidhyasri

    Electricity

  • Aayudh
  • Boy/Male

    Indian

    Aayudh

    Shastra

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Other words and meanings similar to

DATA MINING-EXTENSIONS

AI search in online dictionary sources & meanings containing DATA MINING-EXTENSIONS

DATA MINING-EXTENSIONS

  • Mining
  • a.

    Of or pertaining to mines; as, mining engineer; mining machinery; a mining region.

  • Airing
  • n.

    An exposure to air, or to a fire, for warming, drying, etc.; as, the airing of linen, or of a room.

  • Data
  • pl.

    of Datum

  • Data
  • n. pl.

    See Datum.

  • Filing
  • n.

    A fragment or particle rubbed off by the act of filing; as, iron filings.

  • Ginging
  • n.

    The lining of a mine shaft with stones or bricks to prevent caving.

  • Lining
  • n.

    The act of one who lines; the act or process of making lines, or of inserting a lining.

  • Postmark
  • n.

    The mark, or stamp, of a post office on a letter, giving the place and date of mailing or of arrival.

  • Date
  • 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.

  • Fixing
  • n.

    The act or process of making fixed.

  • Finding
  • n.

    The result of a judicial examination or inquiry, especially into some matter of fact; a verdict; as, the finding of a jury.

  • Date
  • 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.

  • Fining
  • n.

    The process of fining or refining; clarification; also (Metal.), the conversion of cast iron into suitable for puddling, in a hearth or charcoal fire.

  • Hiding
  • n.

    The act of hiding or concealing, or of withholding from view or knowledge; concealment.

  • Mining
  • v. i.

    The act or business of making mines or of working them.

  • Date
  • 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.

  • Date
  • 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.

  • Mining
  • p. pr. & vb. n.

    of Mine

  • Diving
  • a.

    That dives or is used or diving.

  • Date
  • n.

    The fruit of the date palm; also, the date palm itself.