Type(s) de contenu et mode(s) de consultation : Texte noté : électronique

Titre(s) : Practical text mining and statistical analysis for non-structured text data applications [Texte électronique] / Gary Miner [and others]

Édition : 1st ed.

Publication : Waltham, MA : Academic Press, 2012

Description matérielle : 1 ressource dématérialisée

Note(s) : Includes bibliographical references and index
"The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the textual data can be used to unlock new sources of economic value, provide fresh insights into science and hold governments to account. As the Internet expands and our natural capacity to process the unstructured text that it contains diminishes, the value of text mining for information retrieval and search will increase dramatically. This comprehensive professional reference brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis. The Handbook of Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications presents a comprehensive how- to reference that shows the user how to conduct text mining and statistically analyze results. In addition to providing an in-depth examination of core text mining and link detection tools, methods and operations, the book examines advanced preprocessing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection using real world example tutorials in such varied fields as corporate, finance, business intelligence, genomics research, and counterterrorism activities"

Autre(s) auteur(s) : Miner, Gary. Fonction indéterminée  Voir les notices liées en tant qu'auteur

Sujet(s) : Exploration de données  Voir les notices liées en tant que sujet
Statistiques  Voir les notices liées en tant que sujet

Indice(s) Dewey :  006.312 (23e éd.) = Exploration des données (informatique)  Voir les notices liées en tant que sujet

Identifiants, prix et caractéristiques : ISBN 9780123869791

Identifiant de la notice  : ark:/12148/cb44634932r

Notice n° :  FRBNF44634932 (notice reprise d'un réservoir extérieur)

Table des matières : Pt.I. Basic text mining principles ; Pt.II. Introduction to the tutorial and case study section of this book ; Pt.III. Advanced topics.