東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Big data analytics and knowledge dis...

DaWaK (Conference) (2019 :)

Linked to FindBook

Google Book

Amazon

博客來

Big data analytics and knowledge discovery = 21st International Conference, DaWaK 2019, Linz, Austria, August 26-29, 2019 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Big data analytics and knowledge discovery/ edited by Carlos Ordonez ... [et al.].
Reminder of title:	21st International Conference, DaWaK 2019, Linz, Austria, August 26-29, 2019 : proceedings /
remainder title:	DaWaK 2019
other author:	Ordonez, Carlos.
corporate name:	DaWaK (Conference)
Published:	Cham :Springer International Publishing : : 2019.,
Description:	xiii, 321 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Big data - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-030-27520-4
ISBN:	9783030275204

Big data analytics and knowledge discovery = 21st 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 ;11708..

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

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

3166510
Big data
--Congresses.

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

Dewey Class. No.: 005.74

Big data analytics and knowledge discovery = 21st International Conference, DaWaK 2019, Linz, Austria, August 26-29, 2019 : proceedings /
LDR:03456nmm a2200373 a 4500 001 2242780
003 DE-He213
005 20200630101624.0
006 m d
007 cr nn 008maaau
008 211207s2019 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 $a DaWaK (Conference) $n (21st : $d 2019 : $c Linz, Austria) $3 3502293
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 3166510
650 0 $a Data mining $v Congresses. $3 551626
650 1 4 $a Database Management. $3 891010
650 2 4 $a Data Mining and Knowledge Discovery. $3 898250
650 2 4 $a Arithmetic and Logic Structures. $3 893182
650 2 4 $a System Performance and Evaluation. $3 891353
650 2 4 $a Artificial Intelligence. $3 769149
700 1 $a Ordonez, Carlos. $3 1252795
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 11708. $3 3502294
830 0 $a Information systems and applications, incl. internet/web, and HCI. $3 3382505
856 4 0 $u https://doi.org/10.1007/978-3-030-27520-4
950 $a Computer Science (SpringerNature-11645)