Data mining algorithms Part 2.
Witten, I. H.
Data mining algorithms Part 2. [electronic resource] / Data mining algorithms : part II Ian H. Witten. - London : Henry Stewart Talks, 2008. - 1 online resource (1 streaming video file (48 min.) : color, sound). - Data mining : fundamentals and latest development . - Henry Stewart talks. Marketing & management collection. Data mining .
Animated audio-visual presentations with synchronized narration. Title from title frames.
Contents: Linear models -- Classification by regression -- Support vector machine -- Multilayer perceptron -- Trees for numeric prediction -- Instance-based learning and clustering -- Hierarchical clustering -- Iterative: fixed num of clusters -- Probabilistic clustering -- Using and extending the mixture model -- Bayesian clustering -- Engineering the input and output -- Attribute selection -- Data transformations -- Principal component analysis -- Combining multiple models -- Bagging -- Randomization -- Boosting -- Stacking -- Using unlabeled data -- Co-training -- Data mining algorithms.
Access restricted to subscribers.
Mode of access: World Wide Web.
System requirements: Browser compatibility: updated Mozilla Firefox, Google Chrome, Safari or Internet Explorer 8+. Browser settings: enable JavaScript, enable cookies from the Henry Stewart Talks site. Required Desktop Browser plugins & viewers: Updated Adobe Flash Player & Adobe Acrobat Reader. Mobile device & operating system versions: Android v2.1+, iPhone 4+ (iOS v5.x+), iPad 2+ (iOS v5.x+), BlackBerry OS v7.0+, Windows Phone v6.5.1+.
2004 Henry Stewart Talks
Data mining.
Data mining algorithms Part 2. [electronic resource] / Data mining algorithms : part II Ian H. Witten. - London : Henry Stewart Talks, 2008. - 1 online resource (1 streaming video file (48 min.) : color, sound). - Data mining : fundamentals and latest development . - Henry Stewart talks. Marketing & management collection. Data mining .
Animated audio-visual presentations with synchronized narration. Title from title frames.
Contents: Linear models -- Classification by regression -- Support vector machine -- Multilayer perceptron -- Trees for numeric prediction -- Instance-based learning and clustering -- Hierarchical clustering -- Iterative: fixed num of clusters -- Probabilistic clustering -- Using and extending the mixture model -- Bayesian clustering -- Engineering the input and output -- Attribute selection -- Data transformations -- Principal component analysis -- Combining multiple models -- Bagging -- Randomization -- Boosting -- Stacking -- Using unlabeled data -- Co-training -- Data mining algorithms.
Access restricted to subscribers.
Mode of access: World Wide Web.
System requirements: Browser compatibility: updated Mozilla Firefox, Google Chrome, Safari or Internet Explorer 8+. Browser settings: enable JavaScript, enable cookies from the Henry Stewart Talks site. Required Desktop Browser plugins & viewers: Updated Adobe Flash Player & Adobe Acrobat Reader. Mobile device & operating system versions: Android v2.1+, iPhone 4+ (iOS v5.x+), iPad 2+ (iOS v5.x+), BlackBerry OS v7.0+, Windows Phone v6.5.1+.
2004 Henry Stewart Talks
Data mining.