Overview
- Ladjel Bellatreche
LIAS/ISAE-ENSMA, Chasseneuil, France
Search author on:PubMed Google Scholar
- Sharma Chakravarthy
University of Texas at Arlington, Arlington, USA
Search author on:PubMed Google Scholar
- Includes supplementary material:sn.pub/extras
Part of the book series:Lecture Notes in Computer Science (LNCS, volume 10440)
Part of the book sub series:Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)
Included in the following conference series:
Conference proceedings info: DaWaK 2017.
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About this book
The 24 revised full papers and 11 short papers presented were carefully reviewed and selected from 97 submissions. The papers are organized in the following topical sections: new generation data warehouses design; cloud and NoSQL databases; advanced programming paradigms; non-functional requirements satisfaction; machine learning; social media and twitter analysis; sentiment analysis and user influence; knowledge discovery; and data flow management and optimization.
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Keywords
- data mining
- databases
- cloud computing
- artificial intelligence
- social networks
- map-reduce
- semantics
- learning systems
- world wide web
- distributed computer systems
- machine learning
- big data
- classification
- cluster analysis
- computational linguistics
- ontology
- distributed environments
- clustering algorithms
- Support Vector Machines (SVM)
- data security
Table of contents (35 papers)
Front Matter
Pages I-XIVNew Generation Data Warehouses Design
Front Matter
Pages 1-1Evaluation of Data Warehouse Design Methodologies in the Context of Big Data
- Francesco Di Tria, Ezio Lefons, Filippo Tangorra
Pages 3-18Optimal Task Ordering in Chain Data Flows: Exploring the Practicality of Non-scalable Solutions
- Georgia Kougka, Anastasios Gounaris
Pages 19-32Exploiting Mathematical Structures of Statistical Measures for Comparison of RDF Data Cubes
- Claudia Diamantini, Domenico Potena, Emanuele Storti
Pages 33-41S2D: Shared Distributed Datasets, Storing Shared Data for Multiple and Massive Queries Optimization in a Distributed Data Warehouse
- Rado Ratsimbazafy, Omar Boussaid, Fadila Bentayeb
Pages 42-50
Cloud and NoSQL Databases
Front Matter
Pages 51-51Enforcing Privacy in Cloud Databases
- Somayeh Sobati Moghadam, Jérôme Darmont, Gérald Gavin
Pages 53-73TARDIS: Optimal Execution of Scientific Workflows in Apache Spark
- Daniel Gaspar, Fabio Porto, Reza Akbarinia, Esther Pacitti
Pages 74-87MDA-Based Approach for NoSQL Databases Modelling
- Fatma Abdelhedi, Amal Ait Brahim, Faten Atigui, Gilles Zurfluh
Pages 88-102
Advanced Programming Paradigms
Front Matter
Pages 103-103MiSeRe-Hadoop: A Large-Scale Robust Sequential Classification Rules Mining Framework
- Elias Egho, Dominique Gay, Romain Trinquart, Marc Boullé, Nicolas Voisine, Fabrice Clérot
Pages 105-119An Efficient Map-Reduce Framework to Mine Periodic Frequent Patterns
- Alampally Anirudh, R. Uday Kiran, P. Krishna Reddy, M. Toyoda, Masaru Kitsuregawa
Pages 120-129MapReduce-Based Complex Big Data Analytics over Uncertain and Imprecise Social Networks
- Peter Braun, Alfredo Cuzzocrea, Fan Jiang, Carson Kai-Sang Leung, Adam G. M. Pazdor
Pages 130-145
Non-functional Requirements Satisfaction
Front Matter
Pages 147-147A Case for Abstract Cost Models for Distributed Execution of Analytics Operators
- Rundong Li, Ningfang Mi, Mirek Riedewald, Yizhou Sun, Yi Yao
Pages 149-163Pre-processing and Indexing Techniques for Constellation Queries in Big Data
- Amir Khatibi, Fabio Porto, Joao Guilherme Rittmeyer, Eduardo Ogasawara, Patrick Valduriez, Dennis Shasha
Pages 164-172A Lightweight Elastic Queue Middleware for Distributed Streaming Pipeline
- Weiping Qu, Stefan Dessloch
Pages 173-182Modeling Data Flow Execution in a Parallel Environment
- Georgia Kougka, Anastasios Gounaris, Ulf Leser
Pages 183-196
Machine Learning
Front Matter
Pages 197-197
Other volumes
Big Data Analytics and Knowledge Discovery
Editors and Affiliations
LIAS/ISAE-ENSMA, Chasseneuil, France
Ladjel Bellatreche
University of Texas at Arlington, Arlington, USA
Sharma Chakravarthy
Accessibility Information
Bibliographic Information
Book Title:Big Data Analytics and Knowledge Discovery
Book Subtitle:19th International Conference, DaWaK 2017, Lyon, France, August 28–31, 2017, Proceedings
Editors:Ladjel Bellatreche, Sharma Chakravarthy
Series Title:Lecture Notes in Computer Science
DOI:https://doi.org/10.1007/978-3-319-64283-3
Publisher:Springer Cham
eBook Packages:Computer Science,Computer Science (R0)
Copyright Information:Springer International Publishing AG 2017
Softcover ISBN:978-3-319-64282-6Published: 03 August 2017
eBook ISBN:978-3-319-64283-3Published: 11 August 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number:1
Number of Pages:XIV, 488
Number of Illustrations:137 b/w illustrations
Topics:Database Management,Data Mining and Knowledge Discovery,Information Systems Applications (incl. Internet),Computer Systems Organization and Communication Networks,Artificial Intelligence,Computer Appl. in Social and Behavioral Sciences