bilisoly roger (22 Ergebnisse)

Hardcover. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

hardcover. Zustand: New.

hardcover. Zustand: New.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: new.

Zustand: New.

Zustand: New.

Zustand: New. In.

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Zustand: New. pp. xxiv + 295 Illus.

Hardback. Zustand: New. New copy - Usually dispatched within 4 working days.

Zustand: New. Provides readers with the methods, algorithms, and means to perform text mining tasks This book is devoted to the fundamentals of text mining using Perl, an open-source programming tool that is freely available via the Internet (www. perl. org). Series: Wiley Series on Methods and Applications in Data Mining. Num Pages: 320 pages, Illustrations. BIC Classification: UNF. Category: (P) Professional & Vocational. Dimension: 262 x 181 x 24. Weight in Grams: 722. . 2008. 1st Edition. Hardcover. . . . .

Zustand: New. pp. xxiv + 295.

Hardcover. Zustand: Brand New. illustrated edition. 296 pages. 10.00x7.00x0.75 inches. In Stock.

Zustand: New. Provides readers with the methods, algorithms, and means to perform text mining tasks This book is devoted to the fundamentals of text mining using Perl, an open-source programming tool that is freely available via the Internet (www. perl. org). Series: Wiley Series on Methods and Applications in Data Mining. Num Pages: 320 pages, Illustrations. BIC Classification: UNF. Category: (P) Professional & Vocational. Dimension: 262 x 181 x 24. Weight in Grams: 722. . 2008. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Hardcover. Zustand: Like New. Like New. book.

Hardcover. Zustand: new. Hardcover. Provides readers with the methods, algorithms, and means to perform text mining tasks This book is devoted to the fundamentals of text mining using Perl, an open-source programming tool that is freely available via the Internet . It covers mining ideas from several perspectives--statistics, data mining, linguistics, and information retrieval--and provides readers with the means to successfully complete text mining tasks on their own. The book begins with an introduction to regular expressions, a text pattern methodology, and quantitative text summaries, all of which are fundamental tools of analyzing text. Then, it builds upon this foundation to explore: Probability and texts, including the bag-of-words modelInformation retrieval techniques such as the TF-IDF similarity measureConcordance lines and corpus linguisticsMultivariate techniques such as correlation, principal components analysis, and clusteringPerl modules, German, and permutation tests Each chapter is devoted to a single key topic, and the author carefully and thoughtfully introduces mathematical concepts as they arise, allowing readers to learn as they go without having to refer to additional books. The inclusion of numerous exercises and worked-out examples further complements the book's student-friendly format. Practical Text Mining with Perl is ideal as a textbook for undergraduate and graduate courses in text mining and as a reference for a variety of professionals who are interested in extracting information from text documents. Provides readers with the methods, algorithms, and means to perform text mining tasks This book is devoted to the fundamentals of text mining using Perl, an open-source programming tool that is freely available via the Internet (www. perl. org). This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 788.

Hardcover. Zustand: new. Hardcover. Provides readers with the methods, algorithms, and means to perform text mining tasks This book is devoted to the fundamentals of text mining using Perl, an open-source programming tool that is freely available via the Internet . It covers mining ideas from several perspectives--statistics, data mining, linguistics, and information retrieval--and provides readers with the means to successfully complete text mining tasks on their own. The book begins with an introduction to regular expressions, a text pattern methodology, and quantitative text summaries, all of which are fundamental tools of analyzing text. Then, it builds upon this foundation to explore: Probability and texts, including the bag-of-words modelInformation retrieval techniques such as the TF-IDF similarity measureConcordance lines and corpus linguisticsMultivariate techniques such as correlation, principal components analysis, and clusteringPerl modules, German, and permutation tests Each chapter is devoted to a single key topic, and the author carefully and thoughtfully introduces mathematical concepts as they arise, allowing readers to learn as they go without having to refer to additional books. The inclusion of numerous exercises and worked-out examples further complements the book's student-friendly format. Practical Text Mining with Perl is ideal as a textbook for undergraduate and graduate courses in text mining and as a reference for a variety of professionals who are interested in extracting information from text documents. Provides readers with the methods, algorithms, and means to perform text mining tasks This book is devoted to the fundamentals of text mining using Perl, an open-source programming tool that is freely available via the Internet (www. perl. org). This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Zustand: Brand New. illustrated edition. 296 pages. 10.00x7.00x0.75 inches. In Stock. This item is printed on demand.

Hardcover. Zustand: new. Hardcover. Provides readers with the methods, algorithms, and means to perform text mining tasks This book is devoted to the fundamentals of text mining using Perl, an open-source programming tool that is freely available via the Internet . It covers mining ideas from several perspectives--statistics, data mining, linguistics, and information retrieval--and provides readers with the means to successfully complete text mining tasks on their own. The book begins with an introduction to regular expressions, a text pattern methodology, and quantitative text summaries, all of which are fundamental tools of analyzing text. Then, it builds upon this foundation to explore: Probability and texts, including the bag-of-words modelInformation retrieval techniques such as the TF-IDF similarity measureConcordance lines and corpus linguisticsMultivariate techniques such as correlation, principal components analysis, and clusteringPerl modules, German, and permutation tests Each chapter is devoted to a single key topic, and the author carefully and thoughtfully introduces mathematical concepts as they arise, allowing readers to learn as they go without having to refer to additional books. The inclusion of numerous exercises and worked-out examples further complements the book's student-friendly format. Practical Text Mining with Perl is ideal as a textbook for undergraduate and graduate courses in text mining and as a reference for a variety of professionals who are interested in extracting information from text documents. Provides readers with the methods, algorithms, and means to perform text mining tasks This book is devoted to the fundamentals of text mining using Perl, an open-source programming tool that is freely available via the Internet (www. perl. org). This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.