Data Mining and Big Data (Lecture Notes in Computer Science) de Ying Tan

Data Mining and Big Data: First International Conference, DMBD 2016, Bali, Indonesia, June 25-30, 2016. Proceedings: Lecture Notes in Computer Science, cartea 9714

Ying Tan

Yuhui Shi

en Limba Engleză Paperback – 14 iun 2016

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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	Preț	Express
Paperback (6)	335^.36 lei 6-8 săpt.
Springer Nature Singapore – 26 iul 2019	335^.36 lei 6-8 săpt.
Springer International Publishing – 14 iun 2016	346^.75 lei 6-8 săpt.
Springer Nature Singapore – 22 feb 2024	474^.87 lei 6-8 săpt.
Springer Nature Singapore – 20 ian 2023	596^.46 lei 6-8 săpt.
Springer Nature Singapore – 19 ian 2023	597^.94 lei 6-8 săpt.
Springer Nature Singapore – 22 feb 2024	759^.80 lei 6-8 săpt.

Preț

Express

Paperback (6)

335^.36 lei 6-8 săpt.

Springer Nature Singapore – 26 iul 2019

335^.36 lei 6-8 săpt.

Springer International Publishing – 14 iun 2016

346^.75 lei 6-8 săpt.

Springer Nature Singapore – 22 feb 2024

474^.87 lei 6-8 săpt.

Springer Nature Singapore – 20 ian 2023

596^.46 lei 6-8 săpt.

Springer Nature Singapore – 19 ian 2023

597^.94 lei 6-8 săpt.

Springer Nature Singapore – 22 feb 2024

759^.80 lei 6-8 săpt.

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Cuprins

Challenges in Data Mining and Big Data.- Data Mining Algorithms.- Frequent Itemset Mining.- Spatial Data Mining.- Prediction.- Feature Selection.- Information Extraction.- Classification.- Anomaly Pattern and Diagnosis.- Data Visualization Analysis.- Privacy Policy.- Social Media.- Query Optimization and Processing Algorithm.- Big Data.- Computational Aspects of Pattern Recognition and Computer Vision.