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Data Mining and Big Data

First International Conference, DMBD 2016, Bali, Indonesia, June 25-30, 2016. Proceedings

Jezik AngleščinaAngleščina
Knjiga Mehka
Knjiga Data Mining and Big Data Ying Tan
Koda Libristo: 10929393
Založba Springer International Publishing AG, junij 2016
The LNCS volume LNCS 9714 constitutes the refereed proceedings of the International Conference on Da... Celoten opis
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The LNCS volume LNCS 9714 constitutes the refereed proceedings of the International Conference on Data Mining and Big Data, DMBD 2016, held in Bali, Indonesia, in June 2016.§The 57 papers presented in this volume were carefully reviewed and selected from 115 submissions. The theme of DMBD 2016 is "Serving Life with Data Science". Data mining refers to the activity of going through big data sets to look for relevant or pertinent information. The papers are organized in 10 cohesive sections covering all major topics of the research and development of data mining and big data and one Workshop on Computational Aspects of Pattern Recognition and Computer Vision.

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O knjigi

Polni naslov Data Mining and Big Data
Avtor Ying Tan, Yuhui Shi
Jezik Angleščina
Vezava Knjiga - Mehka
Datum izida 2016
Število strani 569
EAN 9783319409726
ISBN 9783319409726
Koda Libristo 10929393
Založba Springer International Publishing AG
Teža 8774
Mere 155 x 235 x 34

Kategorije

Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
Computing & Information Technology > Digital lifestyle > Internet guides & online services > Internet searching
Computing & Information Technology > Computer science > Artificial intelligence > Pattern recognition
Computing & Information Technology > Computer programming / software engineering > Algorithms & data structures
Computing & Information Technology > Computer programming / software engineering > Database programming
Computing & Information Technology > Databases > Data warehousing
Computing & Information Technology > Databases > Information retrieval
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