PACKT (406)
Text Book ????? (673)
????? (822)
??? ???? (560)
??,???? (717)
???? (201)
???? (34)
????? (65)
???? (40)
???? (229)
??? (427)
???? (74)
??? (39)
?? (103)
??? (46)
??? (42)
???? (12)
????? (5)
??? (247)
??? (2)
?? (5)
?? (64)
?????? (?????) (87)

> > ????? > ????

이미지를 클릭하시면 큰 이미지를 보실 수 있습니다.
Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications
출판사 : Academic Press
저 자 : ElderIV
ISBN : 9780123869791
발행일 : 2012-1
도서종류 : 외국도서
발행언어 : 영어
페이지수 : 1000
판매가격 : 79,000원
판매여부 : 재고확인요망
주문수량 : [+]수량을 1개 늘입니다 [-]수량을 1개 줄입니다

My Wish List 에 저장하기
   Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications 목차
Preface: What is TM and what it can do for you

Introduction: How to use this book, and chapter summaries

Part I Basic Text Mining Principles

Part II Introduction to the Tutorial and Case Study Section of This Book

Part III Advanced Topics
   도서 상세설명   

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.

-Extensive case studies, most in a tutorial format, allow the reader to 'click through' the example using a software program, thus learning to conduct text mining analyses in the most rapid manner of learning possible

-Numerous examples, tutorials, power points and datasets available via companion website on Elsevierdirect.com

-Glossary of text mining terms provided in the appendix

  교육용 보조자료   
작성된 교육용 보조자료가 없습니다.