Data Mining the Web: Uncovering Patterns in Web Content, Structure, and UsageJohn Wiley & Sons, 25 de abr. de 2007 - 240 páginas This book introduces the reader to methods of data mining on the web, including uncovering patterns in web content (classification, clustering, language processing), structure (graphs, hubs, metrics), and usage (modeling, sequence analysis, performance). |
Outras edições - Ver todos
Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage Zdravko Markov,Daniel T. Larose Visualização parcial - 2007 |
Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage Daniel T. Larose,Zdravko Markov Prévia não disponível - 2007 |
Termos e frases comuns
Anthropology approach association rules average Boolean browser C4.5 algorithm CCSU web log centroid Chapter class labels classification cluster centroids collaborative filtering common log format Computer Science cosine similarity crawler crawling create criterion function data mining data set decision tree defined discussed distribution document collection document representation document vectors entropy evaluation example filtering flag variables graph hypothesis IP address iteration k-means Larose log data log file log2 machine learning matrix methods naive Bayes node number of attributes PageRank parameters patterns precision preprocessing priori algorithm probability problem query random ranking relevant documents represent request retrieved scores search engines server Session Actions session duration set of documents step structure subsets target variable term-document matrix TFIDF Theatre topic usage mining values vector space visit actions web crawler web graph web usage mining Weka