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Information filtering and retrievalD...
~
(1998 :)
Information filtering and retrievalDART 2014 : revised and invited papers /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Information filtering and retrievaledited by Cristian Lai, Alessandro Giuliani, Giovanni Semeraro.
其他題名:
DART 2014 : revised and invited papers /
其他題名:
DART 2014
其他作者:
Lai, Cristian.
團體作者:
出版者:
Cham :Springer International Publishing :2017.
面頁冊數:
vii, 117 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
Data miningCongresses.
電子資源:
http://dx.doi.org/10.1007/978-3-319-46135-9
ISBN:
9783319461359$q(electronic bk.)
Information filtering and retrievalDART 2014 : revised and invited papers /
Information filtering and retrieval
DART 2014 : revised and invited papers /[electronic resource] :DART 2014edited by Cristian Lai, Alessandro Giuliani, Giovanni Semeraro. - Cham :Springer International Publishing :2017. - vii, 117 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.6681860-949X ;. - Studies in computational intelligence ;v. 216..
Time Event Extraction to Boost an Information Retrieval System -- Interactive Text Categorisation: The Geometry of Likelihood Spaces -- Mining Movement Data to Extract Personal Points of Interest: A Feature Based Approach -- SABRE: a Sentiment Aspect-Based Retrieval Engine -- Monitoring and Supporting People that Need Assistance: the BackHome Experience -- The Relevance of Providing Useful and Personalized Information to Therapists and Caregivers in Tele*.
This book focuses on new research challenges in intelligent information filtering and retrieval. It collects invited chapters and extended research contributions from DART 2014 (the 8th International Workshop on Information Filtering and Retrieval), held in Pisa (Italy), on December 10, 2014, and co-hosted with the XIII AI*IA Symposium on Artificial Intelligence. The main focus of DART was to discuss and compare suitable novel solutions based on intelligent techniques and applied to real-world contexts. The chapters of this book present a comprehensive review of related works and the current state of the art. The contributions from both practitioners and researchers have been carefully reviewed by experts in the area, who also gave useful suggestions to improve the quality of the book.
ISBN: 9783319461359$q(electronic bk.)
Standard No.: 10.1007/978-3-319-46135-9doiSubjects--Topical Terms:
380776
Data mining
--Congresses.
LC Class. No.: QA76.9.D343
Dewey Class. No.: 006.312
Information filtering and retrievalDART 2014 : revised and invited papers /
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