Big Data Analytics and Knowledge Discovery [electronic resource] : 19th International Conference, DaWaK 2017, Lyon, France, August 28–31, 2017, Proceedings / edited by Ladjel Bellatreche, Sharma Chakravarthy.
Material type:
TextSeries: Information Systems and Applications, incl. Internet/Web, and HCI ; 10440 | Lecture Notes in Computer Science ; 10440Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017Description: XIV, 488 p. 137 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783319642833Subject(s): Database management | Data mining | Application software | Computer organization | Artificial intelligence | 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 SciencesAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 005.74 LOC classification: QA76.9.D3Online resources: Click here to access online
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Springer Nature eBookSummary: This book constitutes the refereed proceedings of the 19th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2017, held in Lyon, France, in August 2017. 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. .
E-BOOKS
| Current library | Home library | Call number | Materials specified | URL | Status | Date due | Barcode |
|---|---|---|---|---|---|---|---|
| IMSc Library | IMSc Library | Link to resource | Available | EBK14471 |
This book constitutes the refereed proceedings of the 19th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2017, held in Lyon, France, in August 2017. 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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