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2channel ( Japanese: 2ちゃんねる, Hepburn: ni channeru), also known as 2ch, [ 5] Channel 2, [ 6][ 7] and sometimes retrospectively as 2ch.net, [ 8] was an anonymous Japanese textboard [ b] founded in 1999 by Hiroyuki Nishimura. Described in 2007 as "Japan's most popular online community", [ 9] the site had a level of influence comparable ...
Data mining is the process of extracting and discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. [ 1] Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal of extracting information (with intelligent methods) from a ...
v. t. e. Decision tree learning is a supervised learning approach used in statistics, data mining and machine learning. In this formalism, a classification or regression decision tree is used as a predictive model to draw conclusions about a set of observations. Tree models where the target variable can take a discrete set of values are called ...
Apriori[ 1] is an algorithm for frequent item set mining and association rule learning over relational databases. It proceeds by identifying the frequent individual items in the database and extending them to larger and larger item sets as long as those item sets appear sufficiently often in the database. The frequent item sets determined by ...
Orange (software) A typical workflow in Orange 3. Orange is an open-source data visualization, machine learning and data mining toolkit. It features a visual programming front-end for exploratory qualitative data analysis and interactive data visualization . Classification Tree widget in Orange 3.
Frequent pattern discovery (or FP discovery, FP mining, or Frequent itemset mining) is part of knowledge discovery in databases, Massive Online Analysis, and data mining; it describes the task of finding the most frequent and relevant patterns in large datasets. [ 1][ 2] The concept was first introduced for mining transaction databases. [ 3]
Rakesh Agrawal ( Hindi: राकेश अग्रवाल, romanized : Rākēś Agravāl) is a computer scientist who until recently was a Technical Fellow at the Microsoft Search Labs. [ 1] Rakesh is well known for developing fundamental data mining concepts and technologies and pioneering key concepts in data privacy, including ...
KNIME ( / naɪm / ), the Konstanz Information Miner, [ 2] is a free and open-source data analytics, reporting and integration platform. KNIME integrates various components for machine learning and data mining through its modular data pipelining "Building Blocks of Analytics" concept. A graphical user interface and use of JDBC allows assembly of ...