TY  - BOOK
AU  - Tan,Ying
AU  - Shi,Yuhui
ED  - DMBD (Conference)
TI  - Data mining and big data: first International Conference, DMBD 2016, Bali, Indonesia, June 25-30, 2016. Proceedings 
T2  - Lecture notes in computer science,
SN  - 9783319409733
AV  - QA76.9.D343 
U1  - 006.3/12 23
PY  - 2016///
CY  - Cham
PB  - Springer
KW  - Data mining
KW  - Congresses
KW  - Big data
KW  - Exploration de données (Informatique)
KW  - Congrès
KW  - Données volumineuses
KW  - Artificial intelligence
KW  - bicssc
KW  - Information retrieval
KW  - Databases
KW  - Algorithms & data structures
KW  - Pattern recognition
KW  - Computers
KW  - Intelligence (AI) & Semantics
KW  - bisacsh
KW  - Information Technology
KW  - System Administration
KW  - Storage & Retrieval
KW  - Database Management
KW  - General
KW  - Programming
KW  - Algorithms
KW  - Computer Vision & Pattern Recognition
KW  - fast
KW  - Electronic data
KW  - pplt
KW  - Information
KW  - Scientific research
KW  - Information and communication technology
KW  - Information law
KW  - Conferences
KW  - Congress
KW  - proceedings (reports)
KW  - aat
KW  - Conference papers and proceedings
KW  - lcgft
KW  - Actes de congrès
KW  - rvmgf
N1  - International conference proceedings; 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
N2  - 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
UR  - https://link.springer.com/10.1007/978-3-319-40973-3
ER  -