大葉大學圖書館 |

Collaborative filtering using data mining and analysis[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	006.3/12
書名/作者:	Collaborative filtering using data mining and analysis/ Vishal Bhatnagar, editor.
其他作者:	Bhatnagar, Vishal,
出版者:	Hershey, Pennsylvania : : IGI Global,, [2017]
面頁冊數:	1 online resource (309 pages) : : ill.
標題:	Data mining.
標題:	Recommender systems (Information filtering)
標題:	Multiagent systems.
ISBN:	9781522504900 (ebk.)
ISBN:	9781522504894 (hbk.)
書目註:	Includes bibliographical references and index.
內容註:	Review of data mining techniques and parameters for recommendation of effective adaptive e-learning system / Renuka Mahajan -- Modified single pass clustering algorithm based on median as a threshold similarity value / Mamta Mittal [and 3 others] -- Dimensionality reduction techniques for text mining / Neethu Akkarapatty [and 3 others] -- History and overview of the recommender systems / Venkatesan M., Thangadurai K. -- A classification framework towards application of data mining in collaborative filtering / Neeti Sangwan, Naveen Dahiya -- Collaborative filtering based data mining for large data / Amrit Pal, Manish Kumar -- Big data mining using collaborative filtering / Anu Saini -- Collaborative and clustering based strategy in big data / Arushi Jain, Vishal Bhatnagar, Pulkit Sharma -- Association rule mining in collaborative filtering / Carson K.-S. Leung, Fan Jiang, Edson M. Dela Cruz, Vijay Sekar Elango -- A classification framework on opinion mining for effective recommendation systems / Mahima Goyal, Vishal Bhatnagar -- Combining user co-ratings and social trust for collaborative recommendation: a data analytics approach / Sheng-Jhe Ke, Wei-Po Lee -- Visual data mining for collaborative filtering: a state-of-the-art survey / Marenglen Biba, Narasimha Rao Vajjhala, Lediona Nishani -- Data stream mining using ensemble classifier: a collaborative approach of classifiers / Snehlata Sewakdas Dongre, Latesh G. Malik -- Statistical relational learning for collaborative filtering a state-of-the-art review / Lediona Nishani, Marenglen Biba.
摘要、提要註:	"This book evaluates the latest patterns and trending topics in the utilization of data mining tools and filtering practices, featuring emergent research and optimization techniques in the areas of opinion mining, text mining, and sentiment analysis"--Provided by publisher.
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-0489-4

Collaborative filtering using data mining and analysis[electronic resource] /
Collaborative filtering using data mining and analysis[electronic resource] /Vishal Bhatnagar, editor. - Hershey, Pennsylvania :IGI Global,[2017] - 1 online resource (309 pages) :ill.

Includes bibliographical references and index.

Review of data mining techniques and parameters for recommendation of effective adaptive e-learning system / Renuka Mahajan -- Modified single pass clustering algorithm based on median as a threshold similarity value / Mamta Mittal [and 3 others] -- Dimensionality reduction techniques for text mining / Neethu Akkarapatty [and 3 others] -- History and overview of the recommender systems / Venkatesan M., Thangadurai K. -- A classification framework towards application of data mining in collaborative filtering / Neeti Sangwan, Naveen Dahiya -- Collaborative filtering based data mining for large data / Amrit Pal, Manish Kumar -- Big data mining using collaborative filtering / Anu Saini -- Collaborative and clustering based strategy in big data / Arushi Jain, Vishal Bhatnagar, Pulkit Sharma -- Association rule mining in collaborative filtering / Carson K.-S. Leung, Fan Jiang, Edson M. Dela Cruz, Vijay Sekar Elango -- A classification framework on opinion mining for effective recommendation systems / Mahima Goyal, Vishal Bhatnagar -- Combining user co-ratings and social trust for collaborative recommendation: a data analytics approach / Sheng-Jhe Ke, Wei-Po Lee -- Visual data mining for collaborative filtering: a state-of-the-art survey / Marenglen Biba, Narasimha Rao Vajjhala, Lediona Nishani -- Data stream mining using ensemble classifier: a collaborative approach of classifiers / Snehlata Sewakdas Dongre, Latesh G. Malik -- Statistical relational learning for collaborative filtering a state-of-the-art review / Lediona Nishani, Marenglen Biba.

Restricted to subscribers or individual electronic text purchasers.

"This book evaluates the latest patterns and trending topics in the utilization of data mining tools and filtering practices, featuring emergent research and optimization techniques in the areas of opinion mining, text mining, and sentiment analysis"--Provided by publisher.

Mode of access: World Wide Web.

ISBN: 9781522504900 (ebk.)Subjects--Topical Terms:

337740
Data mining.
Subjects--Index Terms:

Big data

LC Class. No.: QA76.9.D343 / C747 2017e

Dewey Class. No.: 006.3/12

Collaborative filtering using data mining and analysis[electronic resource] /
LDR:03265nam a2200409 i 4500 001 478189
003 IGIG
005 19991102111123.0
006 m eo d
007 cr bn |||m|||a
008 181208s2017 paua fob 001 0 eng d
010 $z 2016012755
020 $a 9781522504900 (ebk.)
020 $a 9781522504894 (hbk.)
035 $a (CaBNVSL)gtp00566199
035 $a (OCoLC)953968835
035 $a 0000000152
040 $a CaBNVSL $b eng $e rda $c CaBNVSL $d CaBNVSL
050 0 0 $a QA76.9.D343 $b C747 2017e
082 0 0 $a 006.3/12 $2 23
245 0 0 $a Collaborative filtering using data mining and analysis $h [electronic resource] / $c Vishal Bhatnagar, editor.
260 $a Hershey, Pennsylvania : $b IGI Global, $c [2017]
300 $a 1 online resource (309 pages) : $b ill.
504 $a Includes bibliographical references and index.
505 0 $a Review of data mining techniques and parameters for recommendation of effective adaptive e-learning system / Renuka Mahajan -- Modified single pass clustering algorithm based on median as a threshold similarity value / Mamta Mittal [and 3 others] -- Dimensionality reduction techniques for text mining / Neethu Akkarapatty [and 3 others] -- History and overview of the recommender systems / Venkatesan M., Thangadurai K. -- A classification framework towards application of data mining in collaborative filtering / Neeti Sangwan, Naveen Dahiya -- Collaborative filtering based data mining for large data / Amrit Pal, Manish Kumar -- Big data mining using collaborative filtering / Anu Saini -- Collaborative and clustering based strategy in big data / Arushi Jain, Vishal Bhatnagar, Pulkit Sharma -- Association rule mining in collaborative filtering / Carson K.-S. Leung, Fan Jiang, Edson M. Dela Cruz, Vijay Sekar Elango -- A classification framework on opinion mining for effective recommendation systems / Mahima Goyal, Vishal Bhatnagar -- Combining user co-ratings and social trust for collaborative recommendation: a data analytics approach / Sheng-Jhe Ke, Wei-Po Lee -- Visual data mining for collaborative filtering: a state-of-the-art survey / Marenglen Biba, Narasimha Rao Vajjhala, Lediona Nishani -- Data stream mining using ensemble classifier: a collaborative approach of classifiers / Snehlata Sewakdas Dongre, Latesh G. Malik -- Statistical relational learning for collaborative filtering a state-of-the-art review / Lediona Nishani, Marenglen Biba.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a "This book evaluates the latest patterns and trending topics in the utilization of data mining tools and filtering practices, featuring emergent research and optimization techniques in the areas of opinion mining, text mining, and sentiment analysis"--Provided by publisher.
530 $a Also available in print.
538 $a Mode of access: World Wide Web.
588 $a Description based on title screen (IGI Global, viewed 07/21/2016).
650 0 $a Data mining. $3 337740
650 0 $a Recommender systems (Information filtering) $3 467318
650 0 $a Multiagent systems. $3 465477
653 $a Big data
653 $a Clustering algorithms
653 $a Data stream mining
653 $a E-learning systems
653 $a Recommender systems
653 $a Statistical rational learning
653 $a Text mining
700 1 $a Bhatnagar, Vishal, $d 1977- $e editor. $3 571042
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-0489-4