國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Databases theory and applications26t...

(1998 :)

Databases theory and applications26th Australasian Database Conference, ADC 2015, Melbourne, VIC, Australia, June 4-7, 2015 : proceedings /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Databases theory and applicationsedited by Mohamed A. Sharaf, Muhammad Aamir Cheema, Jianzhong Qi.
其他題名:	26th Australasian Database Conference, ADC 2015, Melbourne, VIC, Australia, June 4-7, 2015 : proceedings /
其他題名:	ADC 2015
其他作者:	Sharaf, Mohamed A.
團體作者:
出版者:	Cham :Springer International Publishing :2015.
面頁冊數:	xxv, 334 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	DatabasesCongresses.
電子資源:	http://dx.doi.org/10.1007/978-3-319-19548-3
ISBN:	9783319195483 (electronic bk.)

Databases theory and applications26th Australasian Database Conference, ADC 2015, Melbourne, VIC, Australia, June 4-7, 2015 : proceedings /
Databases theory and applications26th Australasian Database Conference, ADC 2015, Melbourne, VIC, Australia, June 4-7, 2015 : proceedings /[electronic resource] :ADC 2015edited by Mohamed A. Sharaf, Muhammad Aamir Cheema, Jianzhong Qi. - Cham :Springer International Publishing :2015. - xxv, 334 p. :ill., digital ;24 cm. - Lecture notes in computer science,90930302-9743 ;. - Lecture notes in computer science ;4891..

Research 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.

This 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.

ISBN: 9783319195483 (electronic bk.)

Standard No.: 10.1007/978-3-319-19548-3doiSubjects--Topical Terms:

384615
Databases
--Congresses.

LC Class. No.: QA76.9.D32

Dewey Class. No.: 005.74

Databases theory and applications26th Australasian Database Conference, ADC 2015, Melbourne, VIC, Australia, June 4-7, 2015 : proceedings /
LDR:04370nmm a2200349 a 4500 001 468985
003 DE-He213
005 20151224134838.0
006 m d
007 cr nn 008maaau
008 160118s2015 gw s 0 eng d
020 $a 9783319195483 (electronic bk.)
020 $a 9783319195476 (paper)
024 7 $a 10.1007/978-3-319-19548-3 $2 doi
035 $a 978-3-319-19548-3
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D32
072 7 $a UN $2 bicssc
072 7 $a UMT $2 bicssc
072 7 $a COM021000 $2 bisacsh
082 0 4 $a 005.74 $2 23
090 $a QA76.9.D32 $b A938 2015
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Databases theory and applications $h [electronic resource] : $b 26th Australasian Database Conference, ADC 2015, Melbourne, VIC, Australia, June 4-7, 2015 : proceedings / $c edited by Mohamed A. Sharaf, Muhammad Aamir Cheema, Jianzhong Qi.
246 3 $a ADC 2015
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xxv, 334 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 9093
505 0 $a Research 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 $a This 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 $a Databases $v Congresses. $3 384615
650 0 $a Database management $3 253546
650 1 4 $a Computer Science. $3 212513
650 2 4 $a Database Management. $3 273994
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
650 2 4 $a Algorithm Analysis and Problem Complexity. $3 273702
650 2 4 $a Information Systems Applications (incl. Internet) $3 530743
700 1 $a Sharaf, Mohamed A. $3 683664
700 1 $a Cheema, Muhammad Aamir. $3 724773
700 1 $a Qi, Jianzhong. $3 724774
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Lecture notes in computer science ; $v 4891. $3 383229
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-19548-3
950 $a Computer Science (Springer-11645)