NTSS 2011 - 1st Workshop on New Trends in Similarity Search
View: 914
Website |
Edit Freely
Category NTSS 2011
Deadline: January 24, 2011 | Date: March 25, 2011
Venue/Country: Uppsala, Sweden
Updated: 2010-12-31 14:46:52 (GMT+9)
Call For Papers - CFP
Similarity Search is an active area of research with large advances in numeric space similarity search over the last two decades. However, many real world applications deal with complex objects that have attributes of many different types - numeric, string, categorical, set valued etc. The prevalence of large amounts of non-numeric data necessitates designing of new similarity measures, indexing techniques and querying techniques. This includes addressing the challenge of efficiently performing similarity search on various attribute types leveraging different kinds of index structures. In this workshop, we seek papers addressing novel problems that arise in real world applications of similarity search.Specific topics of interest include (but are in no way, limited to)Similarity MeasuresSimilarity Measures for heterogeneous attribute types (e.g., set values, numeric, string, categorical, time series etc.)Similarity Measures that lead to metric spaces, arbitrary metric spaces, non-metric or (dis)similarity spacesLearning of similarity Measures (e.g., using partially specified supervised information, relevance feedback, active learning etc.)Aggregation of attribute similarities to object similarities (e.g., weighted sum type monotonic aggregates, and non-monotonic aggregates)Indexing for Similarity SearchIndexes for various similarity measures and aggregation functionsIndexes for handling heterogeneous attributes (e.g., certain objects could have a combination of numeric, categorical, string and set-valued attributes)Indexing for various similarity operatorsQueries for Similarity Search Top-k, Skyline, Reverse kNN, Reverse Skyline, Range QueriesOther novel operators for Similarity SearchComplex Similarity QueriesApproximate Similarity SearchScalability (dataset size, number of dimensions etc.) and Performance StudiesClustering for Similarity SearchPractical Experiences\Similarity Search in Relational Database SystemsLeveraging traditional SQL style queries for Similarity SearchDistributed and Parallel Similarity SearchNovel and Domain-Specific Applications of Similarity SearchSimilarity Search on Uncertain DatabasesSimilarity Search on Streaming DataKeynote Talk topWe are pleased to announce that the Workshop Program will include a Keynote Talk by Matthias Renz on Similarity Search in Uncertain Databases covering challenges, techniques and new trends in this topic. Important Dates topManuscripts Due: January 24, 2011Notification of Acceptance: February 14, 2011Final Revised Manuscript (for Accepted Papers): February 20, 2011Workshop: March 25, 2011Submission Guidelines topWe invite original, unpublished manuscripts of up to 6 pages inclusive of all references and figures. Vision papers and descriptions of work-in-progress are welcome as short paper submissions of up to 4 pages. Papers must be in English and formatted according to the ACM double-column format. Manuscripts to be submitted through the EasyChair System here. Workshop Committee topWorkshop ChairsPrasad M Deshpande, IBM Research ? IndiaDeepak P, IBM Research ? IndiaSteering CommitteeGautam Das, University of Texas at Arlington, USARaghu Krishnapuram, IBM Research ? IndiaProgram Committee topDebapriyo Majumdar, IBM Research - IndiaKarin Murthy, IBM Research - IndiaPatrick Lambrix, Linköping University, Sweden Martin Theobald, Max-Planck-Institut für Informatik, GermanyPeer Kröger, Ludwig-Maximilians-Universität München, GermanyDemetris Zeinalipour, University of Cyprus, CyprusReynold C.K. Cheng, University of Hong Kong, Hong KongReza Akbarinia, INRIA, FranceEvaggelia Pitoura, University of Ioannina, Greecehttps://sites.google.com/site/ntss2011/
Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.