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Big data analytics and knowledge dis...

DaWaK (Conference) (2019 :)

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Big data analytics and knowledge discovery = 21st 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 discovery/ edited 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:	DaWaK (Conference)
出版者:	Cham :Springer International Publishing : : 2019.,
面頁冊數:	xiii, 321 p. :ill. (some col.), digital ;24 cm.
內容註:	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
標題:	Big data - Congresses. -
電子資源:	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 /
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