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

Big data analytics and knowledge dis...

(1998 :)

Big data analytics and knowledge discovery21st International Conference, DaWaK 2019, Linz, Austria, August 26-29, 2019 : proceedings /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Big data analytics and knowledge discoveryedited by Carlos Ordonez ... [et al.].
其他題名:	21st International Conference, DaWaK 2019, Linz, Austria, August 26-29, 2019 : proceedings /
其他題名:	DaWaK 2019
其他作者:	Ordonez, Carlos.
團體作者:
出版者:	Cham :Springer International Publishing :2019.
面頁冊數:	xiii, 321 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Big dataCongresses.
電子資源:	https://doi.org/10.1007/978-3-030-27520-4
ISBN:	9783030275204$q(electronic bk.)

Big data analytics and knowledge discovery21st International Conference, DaWaK 2019, Linz, Austria, August 26-29, 2019 : proceedings /
Big data analytics and knowledge discovery21st International Conference, DaWaK 2019, Linz, Austria, August 26-29, 2019 : proceedings /[electronic resource] :DaWaK 2019edited by Carlos Ordonez ... [et al.]. - Cham :Springer International Publishing :2019. - xiii, 321 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,117080302-9743 ;. - Lecture notes in computer science ;4891..

Applications -- Detecting the Onset of Machine Failure Using Anomaly Detection Methods -- A Hybrid Architecture for Tactical and Strategic Precision Agriculture -- Urban analytics of big transportation data for supporting smart cities -- Patterns -- Frequent Item Mining When Obtaining Support is Costly -- Mining Sequential Pattern of Historical Purchases for E-Commerce Recommendation -- Discovering and Visualizing Efficient Patterns in Cost/Utility Sequences -- Efficient Row Pattern Matching using Pattern Hierarchies for Sequence OLAP -- Statistically Significant Discriminative Patterns Searching -- RDF and Streams -- Multidimensional Integration of RDF datasets -- RDFPartSuite: Bridging Physical and Logical RDF Partitioning -- Mining quantitative temporal dependencies between interval-based streams -- Democratization of OLAP DSMS -- Big Data Systems -- Leveraging the Data Lake - Current State and Challenges -- SDWP: A New Data Placement Strategy for Distributed Big Data Warehouses in Hadoop -- Improved Programming-Language Independent MapReduce on Shared-Memory Systems -- Evaluating Redundancy and Partitioning of Geospatial Data in Document-Oriented Data Warehouses -- Graphs and Machine Learning -- Scalable Least Square Twin Support Vector Machine Learning -- Finding Strongly Correlated Trends in Dynamic Attributed Graphs -- Text-based Event Detection: Deciphering Date Information Using Graph Embeddings -- Efficiently Computing Homomorphic Matches of Hybrid Pattern Queries on Large Graphs -- Databases -- From Conceptual to Logical ETL Design using BPMN and Relational Algebra -- Accurate Aggregation Query-Result Estimation and Its Efficient Processing on Distributed Key-Value Store.

This book constitutes the refereed proceedings of the 21st International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2019, held in Linz, Austria, in September 2019. The 12 full papers and 10 short papers presented were carefully reviewed and selected from 61 submissions. The papers are organized in the following topical sections: Applications; patterns; RDF and streams; big data systems; graphs and machine learning; databases.

ISBN: 9783030275204$q(electronic bk.)

Standard No.: 10.1007/978-3-030-27520-4doiSubjects--Topical Terms:

592065
Big data
--Congresses.

LC Class. No.: QA76.9.D3 / D38 2019

Dewey Class. No.: 005.74

Big data analytics and knowledge discovery21st International Conference, DaWaK 2019, Linz, Austria, August 26-29, 2019 : proceedings /
LDR:03456nmm a2200373 a 4500 001 586792
003 DE-He213
005 20200630101624.0
006 m d
007 cr nn 008maaau
008 210326s2019 sz s 0 eng d
020 $a 9783030275204$q(electronic bk.)
020 $a 9783030275198$q(paper)
024 7 $a 10.1007/978-3-030-27520-4 $2 doi
035 $a 978-3-030-27520-4
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D3 $b D38 2019
072 7 $a UN $2 bicssc
072 7 $a COM021000 $2 bisacsh
072 7 $a UN $2 thema
072 7 $a UMT $2 thema
082 0 4 $a 005.74 $2 23
090 $a QA76.9.D3 $b D269 2019
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Big data analytics and knowledge discovery $h [electronic resource] : $b 21st International Conference, DaWaK 2019, Linz, Austria, August 26-29, 2019 : proceedings / $c edited by Carlos Ordonez ... [et al.].
246 3 $a DaWaK 2019
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a xiii, 321 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 11708
490 1 $a Information systems and applications, incl. internet/web, and HCI
505 0 $a Applications -- Detecting the Onset of Machine Failure Using Anomaly Detection Methods -- A Hybrid Architecture for Tactical and Strategic Precision Agriculture -- Urban analytics of big transportation data for supporting smart cities -- Patterns -- Frequent Item Mining When Obtaining Support is Costly -- Mining Sequential Pattern of Historical Purchases for E-Commerce Recommendation -- Discovering and Visualizing Efficient Patterns in Cost/Utility Sequences -- Efficient Row Pattern Matching using Pattern Hierarchies for Sequence OLAP -- Statistically Significant Discriminative Patterns Searching -- RDF and Streams -- Multidimensional Integration of RDF datasets -- RDFPartSuite: Bridging Physical and Logical RDF Partitioning -- Mining quantitative temporal dependencies between interval-based streams -- Democratization of OLAP DSMS -- Big Data Systems -- Leveraging the Data Lake - Current State and Challenges -- SDWP: A New Data Placement Strategy for Distributed Big Data Warehouses in Hadoop -- Improved Programming-Language Independent MapReduce on Shared-Memory Systems -- Evaluating Redundancy and Partitioning of Geospatial Data in Document-Oriented Data Warehouses -- Graphs and Machine Learning -- Scalable Least Square Twin Support Vector Machine Learning -- Finding Strongly Correlated Trends in Dynamic Attributed Graphs -- Text-based Event Detection: Deciphering Date Information Using Graph Embeddings -- Efficiently Computing Homomorphic Matches of Hybrid Pattern Queries on Large Graphs -- Databases -- From Conceptual to Logical ETL Design using BPMN and Relational Algebra -- Accurate Aggregation Query-Result Estimation and Its Efficient Processing on Distributed Key-Value Store.
520 $a This book constitutes the refereed proceedings of the 21st International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2019, held in Linz, Austria, in September 2019. The 12 full papers and 10 short papers presented were carefully reviewed and selected from 61 submissions. The papers are organized in the following topical sections: Applications; patterns; RDF and streams; big data systems; graphs and machine learning; databases.
650 0 $a Big data $v Congresses. $3 592065
650 0 $a Data mining $v Congresses. $3 380776
650 1 4 $a Database Management. $3 273994
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
650 2 4 $a Arithmetic and Logic Structures. $3 276274
650 2 4 $a System Performance and Evaluation. $3 273898
650 2 4 $a Artificial Intelligence. $3 212515
700 1 $a Ordonez, Carlos. $3 821995
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 4891. $3 383229
830 0 $a Information systems and applications, incl. internet/web, and HCI. $3 822022
856 4 0 $u https://doi.org/10.1007/978-3-030-27520-4
950 $a Computer Science (SpringerNature-11645)