liceoartisticolisippo-ta
» » Web Data Mining and Applications in Business Intelligence and Counter-Terrorism

Web Data Mining and Applications in Business Intelligence and Counter-Terrorism ebook

by Bhavani Thuraisingham


The emergence of data mining, and the larger field of Web mining, has businesses lost within a confusing maze of mechanisms and strategies for obtaining and managing crucial intelligence

The emergence of data mining, and the larger field of Web mining, has businesses lost within a confusing maze of mechanisms and strategies for obtaining and managing crucial intelligence. Web Data Mining and Applications in Business Intelligence and Counter-Terrorism responds by presenting a clear and comprehensive overview of Web mining, with emphasis on CRM and, for the first time, security and counter-terrorism applications.

This book is extremely timely A very good overview of data mining and counter-terrorism. Would have liked to have seen more details on applying data mining for counter-terrorism.

This book is extremely timely. It discusses a great deal about data mining and in some detail the applications in counter-terrorism. As stated in the preface, it is written at a high level for managers and will be a useful reference. It does not however go into the details of how data mining tools could be applied for national security applications. A very good overview of data mining and counter-terrorism. This part of the book while clear could have had more details.

This book descibes an overview of how data mining techniques can be applied toward aspects of business intelligence including CRM . Web Data Mining and Applications in Business Intelligence and Counter-Terrorism. Bhavani Thuraisingham.

This book descibes an overview of how data mining techniques can be applied toward aspects of business intelligence including CRM, competitive analysis. The book presents a clear and comprehensive overview of Web mining, with emphasis on CRM and, for the first time, security and counter-terrorism applications.

Bhavani Thuraisingham. The emergence of data mining, and the larger field of Web mining, has businesses lost within a confusing maze of mechanisms and strategies for obta. Web Data Mining and Applications in Business Intelligence and Counter-Terrorism - eBook.

ByBhavani Thuraisingham. Thuraisingham, B. (2003) The emergence of data mining, and the larger field of Web mining, has businesses lost within a confusing maze o. . (2003). The explosion of Web-based data has created a demand among executives and technologists for methods to identify, gather, analyze, and utilize data that may be of value to corporations and organizations. PART 2 WEB DATA MINING TECHNIQUES, TOOLS, AND TRENDS DATA MINING AND THE WEB Mining Data on the Web Mining Usage Patterns Web Structure Mining Applications and Directions Summary.

CRC Press, c2003Description: xxiv, 516 p. : il. SBN: 9780203499511 (ebook : PDF). Subject(s): Data mining Web databases Business intelligence - Databases Terrorism - Prevention - DatabasesGenre/Form: Electronic books. Additional physical formats: No titleOnline resources: Distributed by publisher.

This book describes key concepts in Web mining and discusses resulting applications in business intelligence and counter-terrorism. Additional Product Features. Place of Publication. Computing: Professional & Programming. Taylor & Francis.

Web Data Mining and Applications in Business Intelligence and Counter-Terrorism responds by presenting a clear and comprehensive overview of Web mining, with emphasis on CRM and, for the first time, security and counter-terrorism applications

Web Data Mining and Applications in Business Intelligence and Counter-Terrorism responds by presenting a clear and comprehensive overview of Web mining, with emphasis on CRM and, for the first time, security and counter-terrorism applications. The tools and methods of Web mining are revealed in an easy-to-understand style, emphasizing the importance of practical, hands-on experience in the creation of successful e-business solutions

The explosion of Web-based data has created a demand among executives and technologists for methods to identify, gather, analyze, and utilize data that may be of value to corporations and organizations. The emergence of data mining, and the larger field of Web mining, has businesses lost within a confusing maze of mechanisms and strategies for obtaining and managing crucial intelligence.Web Data Mining and Applications in Business Intelligence and Counter-Terrorism responds by presenting a clear and comprehensive overview of Web mining, with emphasis on CRM and, for the first time, security and counter-terrorism applications. The tools and methods of Web mining are revealed in an easy-to-understand style, emphasizing the importance of practical, hands-on experience in the creation of successful e-business solutions.The author, a program director for Data and Applications Security at the National Science Foundations, details how both opportunities and dangers on the Web can be identified and managed. Armed with the knowledge contained in this book, businesses can collect and analyze Web-based data to help develop customer relationships, increase sales, and identify existing and potential threats. Organizations can apply these same Web mining techniques to battle the real and present danger of terrorism, demonstrating Web mining's critical role in the intelligence arsenal.
Bil
I have to agree with the views of the other "not so good" reviewers. I am looking for leads in a very exciting area and this book seems to provide little more than superficial comment and a nostalgia towards 9/11. I agree that the diagrams are rather perfunctory and the repetetiveness gets rather tedious. Some of the definitions around this subject area need clarification and this has not satisfied this requirement. There's little doubt that there is a growing and exciting research area here but I feel this book is rather premature and does little more than try to be a "first" in this area. We need a follow up text that gets down to the nitty gritty of the technicalities. This book is completely technically-shy. A great pity, but perhaps in its defense it never purported to be any other.
Vathennece
I am new to the field of data mining and this book provides a very good overview of data mining and web mining. It also provides some discussion on counter-terrorism and shows at a very high level how data mining could be applied for counter-terrorism. I would have liked to have seen more details step by step how data mining techniques could be used for this purpose. I understand that this is a new area and the author has done a good job in explaining the issues and concepts. Perhaps as the field matures a book discussing the algorithms and applications would be beneficial especially for the analysts who will be using the tools.
Porgisk
This book is extremely timely. It discusses a great deal about data mining and in some detail the applications in counter-terrorism. As stated in the preface, it is written at a high level for managers and will be a useful reference. It does not however go into the details of how data mining tools could be applied for national security applications. Perhaps the field it too new. It discusses the concerns that civil liberties unions have on privacy and shows how privacy may be maintained while carrying out data mining. On the whole it is a very good book.
SmEsH
Dr. Thuraisingham has produced one of the first books in the field. She goes step by step in explaining concepts in data mining, web data mining, counter-terrorism and applications of
data mining to national security. While the topics are discussed at a high level, it provides a broad and very good overview of the issues and challanges. She shows how techniques such as association rule mining and link analysis may be applied to detect unusual patterns. She is also very aware of the privacy concerns that arise due to data mining and provides an excellent discussion on privacy and national security.
Uttegirazu
Author has a very easy to read writing style and I enjoyed reading this book. However the author has a tendency to repeat certain points and over emphasize certain other aspects. A very good overview of data mining and counter-terrorism. Would have liked to have seen more details on applying data mining for counter-terrorism. This part of the book while clear could have had more details.
Whiteseeker
I am amazed how someone can write 500 pages about a 50 pages subject. The only thing that the book does not cover is counter-terrorism. Too many unrelated drawings to fill pages, too many times reapting the same subject with different heading. Just assembling bunch of un-related stuff in a book.
greatest
While there is somne repetition, this book provides an excellent overview of data mining and its applications to counter-terrorism. My only comment is that the book could have had a better introduction to counter-terrorism. Nevertheless the book will be very useful to anyone who wants to understand data mining and apply to security applications.
High level book, but provides a detailed discussion of data mining and its applications to counterterrorism. Although there is some hand waving on certain aspects such as threat types, the use of data mining is extremely thought provoking. Only book that addresses privacy as well as data mining.
Web Data Mining and Applications in Business Intelligence and Counter-Terrorism ebook
Author:
Bhavani Thuraisingham
Category:
Computer Science
Subcat:
EPUB size:
1375 kb
FB2 size:
1184 kb
DJVU size:
1267 kb
Language:
Publisher:
CRC Press; 1 edition (June 26, 2003)
Pages:
544 pages
Rating:
4.7
Other formats:
lrf docx mobi azw
© 2018-2020 Copyrights
All rights reserved. liceoartisticolisippo-ta.it | Privacy Policy | DMCA | Contacts