Web Data Mining Exploring Hype - GOOD
US $4.39
Condition:
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages. See the seller’s listing for full details and description of any imperfections.
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Located in: Montgomery, Illinois, United States
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Estimated between Tue, Jul 8 and Mon, Jul 14 to 94104
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eBay item number:267231787917
Item specifics
- Condition
- Brand
- Unbranded
- Book Title
- Web Data Mining Exploring Hype
- MPN
- Does not apply
- ISBN
- 9783540378815
- Subject Area
- Mathematics, Computers
- Publication Name
- Web Data Mining
- Publisher
- Springer
- Item Length
- 9.3 in
- Subject
- Probability & Statistics / General, Desktop Applications / Databases, System Administration / Storage & Retrieval, Databases / Data Mining
- Publication Year
- 2006
- Series
- Data-Centric Systems and Applications Ser.
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Width
- 6.1 in
- Number of Pages
- Xx, 532 Pages
About this product
Product Identifiers
Publisher
Springer
ISBN-10
3540378812
ISBN-13
9783540378815
eBay Product ID (ePID)
57061397
Product Key Features
Number of Pages
Xx, 532 Pages
Publication Name
Web Data Mining
Language
English
Subject
Probability & Statistics / General, Desktop Applications / Databases, System Administration / Storage & Retrieval, Databases / Data Mining
Publication Year
2006
Type
Textbook
Subject Area
Mathematics, Computers
Series
Data-Centric Systems and Applications Ser.
Format
Hardcover
Dimensions
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Intended Audience
College Audience
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
006.312
Synopsis
This is the first book to provide such a comprehensive text on Web data mining. The book brings together all the essential concepts and algorithms from related areas such as data mining, machine learning, and text processing to form an authoritative and coherent text. It contains a rich blend of theory and practice, addressing seminal research ideas, as well as examining the technology from a practical point of view. It is suitable for students, researchers and practitioners interested in Web mining both as a learning text and a reference book. Lecturers can readily use it for classes on data mining, Web mining, and Web search. Internet support with lecture slides and project problems is available online., Web mining aims to discover useful information and knowledge from the Web hyperlink structure, page contents, and usage data. Although Web mining uses many conventional data mining techniques, it is not purely an application of traditional data mining due to the semistructured and unstructured nature of the Web data and its heterogeneity. It has also developed many of its own algorithms and techniques. Liu has written a comprehensive text on Web data mining. Key topics of structure mining, content mining, and usage mining are covered both in breadth and in depth. His book brings together all the essential concepts and algorithms from related areas such as data mining, machine learning, and text processing to form an authoritative and coherent text. The book offers a rich blend of theory and practice, addressing seminal research ideas, as well as examining the technology from a practical point of view. It is suitable for students, researchers and practitioners interested in Web mining both as a learning text and a reference book. Lecturers can readily use it for classes on data mining, Web mining, and Web search. Additional teaching materials such as lecture slides, datasets, and implemented algorithms are available online., This book provides a comprehensive text on Web data mining. Key topics of structure mining, content mining, and usage mining are covered. The book brings together all the essential concepts and algorithms from related areas such as data mining, machine learning, and text processing to form an authoritative and coherent text. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in Web mining. Lecturers can readily use it for classes on data mining, Web mining, and Web search. Internet support with lecture slides and project problems is available online.
Item description from the seller
Seller feedback (7,616,454)
- c***m (405)- Feedback left by buyer.Past monthVerified purchaseWOW!; I cannot believe this 4 Days to Hawaii! ; AAA+++; Excellent Service; Great Pricing; Fast Delivery-Faster Than Expected to Hawaii!; Shipped 06 03, Tues, Received 06/07 Sat to Hawaii using free shipping; USPS Ground Mail, Hardcover Book in Excellent Condition--Better Than Described ; TLC Packaging; Excellent Seller Communication, Sends updates . Highly Recommended!, Thank you very much!
- c***c (489)- Feedback left by buyer.Past 6 monthsVerified purchaseExcellent eBay seller with good communications!!! Book came as described (GOOD condition), reasonably packaged (plastic mailer bag with 3 other books), and in very good time considering free shipping (projected delivery 5/7 thru 5/12; rcvd 5/10). Have purchased multiple books from SecondSalecom, and have been quite satisfied with the quality, appearance, and value of those purchases. Will definitely check their selection for future book purchases. Thanks, SecondSalecom!
- x***l- Feedback left by buyer.Past 6 monthsVerified purchaseI had a positive experience with this seller. I did receive an incorrect item in my package, but when I reached out to the seller about the problem, they responded in a timely manner and resolved the issue. Items were packaged in a bag but arrived in good condition as described. I am very happy with the condition of the books I received. Great value. I have already placed additional orders with this seller. Thank you!
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