Verfügbarkeit: Data mining for service

Data mining for service:

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Bibliographische Detailangaben
Weitere Verfasser:	Yada, Katsutoshi (HerausgeberIn)
Format:	Buch
Sprache:	English
Veröffentlicht:	Berlin [u.a.] Springer 2014
Schriftenreihe:	Studies in big data 3
Schlagworte:	Ingenieurwissenschaften Künstliche Intelligenz Artificial intelligence Operations research Engineering Data Mining Big Data Aufsatzsammlung
Online-Zugang:	Inhaltsverzeichnis
Beschreibung:	VIII, 291 S. Ill., graph. Darst.
ISBN:	9783642452512

Internformat

MARC


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Datensatz im Suchindex

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adam_text	Contents Part I Fundamental Technologies Supporting Service Science Data Mining for Service .................................. 3 Katsutoshi Yada Feature Selection Over Distributed Data Streams ................ 11 Jacob Kogan Learning Hidden Markov Models Using Probabilistic Matrix Factorization ..................................... 27 Ashutosh Tewari and Michael J. Giering Dimensionality Reduction for Information Retrieval Using Vector Replacement of Rare Terms ..................... 41 Tobias Berka and Marian Vajteršic Panel Data Analysis via Variable Selection and Subject Clustering ................................... 61 Haibing Lu, Shengsheng Huang, Yingjiu Li and Yanjiang Yang Part II Knowledge Discovery from Text A Weighted Density-Based Approach for Identifying Standardized Items that are Signifìcantly Related to the Biological Literature ..... 79 Omar Al-Azzam, Jianfei Wu, Loai Al-Nimer, Charith Chitraranjan and Anne M. Dentón Nonnegative Tensor Factorization of Biomedical Literature for Analysis of Genomic Data .............................. 97 Sujoy Roy, Ramin Homayouni, Michael W. Berry and Andrey A. Puretskiy VII viii Contente Text Mining of Business-Oriented Conversations at a Call Center III Hironori Takeuchi and Takahira Yamaguchi Part III Approach for New Services in Social Media Scam Detection in Twitter ................................. · 33 Xiaoling Chen, Rajarathnam Chandramouli and Koduvayur P. Subbalakshmi A Matrix Factorization Framework for Jointly Analyzing Multiple Nonnegative Data Sources .......................... 151 Sunil Kumar Gupta, Dinh Phung, Brett Adams and Svetha Venkatesh Recommendation Systems for Web 2.0 Marketing ............... J 71 Chen Wei, Richard Khoury and Simon Fong Part IV Data Mining Spreading into Various Service Fields Handling Imbalanced and Overlapping Classes in Smart Environments Prompting Dataset ............................ 199 Barnan Das, Narayanan С. Krishnan and Diane J. Cook Change Detection from Heterogeneous Data Sources ............. 221 Tsuyoshi Idé Interesting Subset Discovery and Its Application on Service Processes ............................ 245 Maitreya Natu and Girish Keshav Palshikar Text Document Cluster Analysis Through Visualization of 3D Projections ......................... 77 1 Masaki Aono and Mei Kobayashi
any_adam_object	1
author2	Yada, Katsutoshi
author2_role	edt
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dewey-full	006.3
dewey-hundreds	000 - Computer science, information, general works
dewey-ones	006 - Special computer methods
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dewey-search	006.3
dewey-sort	16.3
dewey-tens	000 - Computer science, information, general works
discipline	Informatik Wirtschaftswissenschaften
format	Book
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spelling	Data mining for service Katsutoshi Yada, ed. Berlin [u.a.] Springer 2014 VIII, 291 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Studies in big data 3 Ingenieurwissenschaften Künstliche Intelligenz Artificial intelligence Operations research Engineering Data Mining (DE-588)4428654-5 gnd rswk-swf Big Data (DE-588)4802620-7 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Data Mining (DE-588)4428654-5 s Big Data (DE-588)4802620-7 s 2\p DE-604 Yada, Katsutoshi edt Erscheint auch als Online-Ausgabe 978-3-642-45252-9 Studies in big data 3 (DE-604)BV041647338 3 Digitalisierung UB Bamberg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027098259&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk
spellingShingle	Data mining for service Studies in big data Ingenieurwissenschaften Künstliche Intelligenz Artificial intelligence Operations research Engineering Data Mining (DE-588)4428654-5 gnd Big Data (DE-588)4802620-7 gnd
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title	Data mining for service
title_auth	Data mining for service
title_exact_search	Data mining for service
title_full	Data mining for service Katsutoshi Yada, ed.
title_fullStr	Data mining for service Katsutoshi Yada, ed.
title_full_unstemmed	Data mining for service Katsutoshi Yada, ed.
title_short	Data mining for service
title_sort	data mining for service
topic	Ingenieurwissenschaften Künstliche Intelligenz Artificial intelligence Operations research Engineering Data Mining (DE-588)4428654-5 gnd Big Data (DE-588)4802620-7 gnd
topic_facet	Ingenieurwissenschaften Künstliche Intelligenz Artificial intelligence Operations research Engineering Data Mining Big Data Aufsatzsammlung
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