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データマイニング（英語: data mining）とは、統計学、パターン認識、人工知能等のデータ解析の技法を大量のデータに網羅的に適用することで知識を取り出す技術のことで ...
Data mining is the process of extracting and discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, ...
Data mining, the process of discovering patterns in large data sets, has been used in many applications.
Educational data mining (EDM) is a research field concerned with the application of data mining, machine learning and statistics to information generated ...
Data mining is about finding new information in a lot of data. The ... Finding new information that can also be useful from data is called data mining.
The Cross-industry standard process for data mining, known as CRISP-DM, is an open standard process model that describes common approaches used by data ...
Data stream mining (also known as stream learning) is the process of extracting knowledge structures from continuous, rapid data records.
テキストマイニング（英: text mining）は、文字列を対象としたデータマイニングのことである。通常の文章からなるデータを単語や文節などの単位で区切り、それらの出現 ...
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 ...
Data Mining and Knowledge Discovery is a bimonthly peer-reviewed scientific journal focusing on data mining published by Springer Science+Business Media.