Fundamentals of Predictive Text Mining

• Κύριοι συγγραφείς: Weiss, Sholom M. (Συγγραφέας), Indurkhya, Nitin (Συγγραφέας), Zhang, Tong (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: London : Springer London : Imprint: Springer, 2010.
• Σειρά: Texts in Computer Science,
• Θέματα: Computer science.; Database management.; Data mining.; Information storage and retrieval.; Text processing (Computer science).; Application software.; Computer Science.; Data Mining and Knowledge Discovery.; Document Preparation and Text Processing.; Computer Appl. in Administrative Data Processing.; Information Storage and Retrieval.; Database Management.

One consequence of the pervasive use of computers is that most documents originate in digital form. Widespread use of the Internet makes them readily available. Text mining - the process of analyzing unstructured natural-language text – is concerned with how to extract information from these documen...

Πίνακας περιεχομένων:

• Overview of Text Mining
• From Textual Information to Numerical Vectors
• Using Text for Prediction
• Information Retrieval and Text Mining
• Finding Structure in a Document Collection
• Looking for Information in Documents
• Data Sources for Prediction: Databases, Hybrid Data and the Web
• Case Studies
• Emerging Directions.