000 05948nam a22006135i 4500
001 978-3-319-19548-3
003 DE-He213
005 20210120143401.0
007 cr nn 008mamaa
008 150527s2015 gw | s |||| 0|eng d
020 _a9783319195483
_9978-3-319-19548-3
024 7 _a10.1007/978-3-319-19548-3
_2doi
050 4 _aQA76.9.D3
072 7 _aUN
_2bicssc
072 7 _aCOM021000
_2bisacsh
072 7 _aUN
_2thema
072 7 _aUMT
_2thema
082 0 4 _a005.74
_223
245 1 0 _aDatabases Theory and Applications
_h[electronic resource] :
_b26th Australasian Database Conference, ADC 2015, Melbourne, VIC, Australia, June 4-7, 2015. Proceedings /
_cedited by Mohamed A. Sharaf, Muhammad Aamir Cheema, Jianzhong Qi.
250 _a1st ed. 2015.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aXXV, 334 p. 130 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aInformation Systems and Applications, incl. Internet/Web, and HCI ;
_v9093
_aLecture Notes in Computer Science
_v9093
505 0 _aResearch papers -- Efficient Discovery of Differential Dependencies through Association Rules Mining -- Ontology Augmentation via Attribute Extraction from Multiple Types of Sources -- Predicting Passengers in Public Transportation Using Smart Card Data -- Unifying Spatial, Temporal and Semantic Features for an Effective GPS Trajectory-Based Location Recommendation -- A Cache-based Semi-Stream Join to deal with Unmatched Stream Data -- Storing and Processing Massive Trajectory Data on SAP HANA -- Belief Revision in Uncertain Data Integration -- Personal Process Description Graph for Describing and Querying Personal Processes -- Predicting the Spread of a New Tweet in Twitter -- Improvement of Join Algorithms for Low-Selectivity Joins on MapReduce -- Predicting Users’ Purchasing Behaviors Using Their Browsing History -- Bus Arrival Time using a Modified Amalgamation of Fuzzy Clustering and Neural Network on Spatio-temporal Data -- A Domain Independent Approach for Extracting Terms from Research Papers -- TK-SK: Textual-restricted K Spatial Keyword Query on Road Networks -- Handling Query Skew in Large Indexes: A View Based Approach -- Effective Spatial Keyword Query Processing on Road Networks -- Cognition and Statistical-based Crowd Evaluation Framework for ER-In-house Crowdsourcing System: Inbound Contact Center -- Community Based Information Dissemination -- A Fast and Effective Image Geometric Verification Method for Efficient CBIR -- Efficient Mining of Non-derivable Emerging Patterns -- Using Word Embeddings to Enhance Keyword Identification for Scientific Publications -- Truth discovery in Material Science databases -- Presto-RDF: SPARQL Querying over Big RDF Data -- Detecting Spamming Groups in Social Media Based on Latent Graph -- Demo papers -- A Framework of Enriching Business Processes Life-Cycle with Tagging Information -- SocialTrail: Recommending Social Trajectories from Location-Based Social Networks -- SocialAnalysis: A Real-time Query and Mining System from Social Media Data Streams -- SCIT: A Schema Change Interpretation Tool for Dynamic-Schema Data Warehouses -- SEMI: A Scalable Entity Matching System based on MapReduce.
520 _aThis book constitutes the refereed proceedings of the 26th Australasian Database Conference, ADC 2015, held in Melbourne, VIC, Australia, in June 2015. The 24 full papers presented together with 5 demo papers were carefully reviewed and selected from 43 submissions. The Australasian Database Conference is an annual international forum for sharing the latest research advancements and novel applications of database systems, data driven applications and data analytics between researchers and practitioners from around the globe, particularly Australia and New Zealand. The mission of ADC is to share novel research solutions to problems of today’s information society that fulfill the needs of heterogeneous applications and environments and to identify new issues and directions for future research. ADC seeks papers from academia and industry presenting research on all practical and theoretical aspects of advanced database theory and applications, as well as case studies and implementation experiences.
650 0 _aDatabase management.
650 0 _aData mining.
650 0 _aAlgorithms.
650 0 _aApplication software.
650 1 4 _aDatabase Management.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I18024
650 2 4 _aData Mining and Knowledge Discovery.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I18030
650 2 4 _aAlgorithm Analysis and Problem Complexity.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I16021
650 2 4 _aInformation Systems Applications (incl. Internet).
_0https://scigraph.springernature.com/ontologies/product-market-codes/I18040
700 1 _aSharaf, Mohamed A.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aCheema, Muhammad Aamir.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aQi, Jianzhong.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319195490
776 0 8 _iPrinted edition:
_z9783319195476
830 0 _aInformation Systems and Applications, incl. Internet/Web, and HCI ;
_v9093
830 0 _aLecture Notes in Computer Science ;
_v9093
856 4 0 _uhttps://doi.org/10.1007/978-3-319-19548-3
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
942 _cEBK
999 _c58042
_d58042