Data Mining and Big Data First International Conference, DMBD 2016, Bali, Indonesia, June 25-30, 2016. Proceedings /
Data Mining and Big Data First International Conference, DMBD 2016, Bali, Indonesia, June 25-30, 2016. Proceedings / [electronic resource] :
edited by Ying Tan, Yuhui Shi.
- 1st ed. 2016.
- XVI, 569 p. 141 illus. online resource.
- Information Systems and Applications, incl. Internet/Web, and HCI, 9714 2946-1642 ; .
- Information Systems and Applications, incl. Internet/Web, and HCI, 9714 .
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.
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.
9783319409733
10.1007/978-3-319-40973-3 doi
Pattern recognition systems.
Artificial intelligence.
Application software.
Information storage and retrieval systems.
Database management.
Algorithms.
Automated Pattern Recognition.
Artificial Intelligence.
Computer and Information Systems Applications.
Information Storage and Retrieval.
Database Management.
Algorithms.
Q337.5 TK7882.P3
006.4
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.
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.
9783319409733
10.1007/978-3-319-40973-3 doi
Pattern recognition systems.
Artificial intelligence.
Application software.
Information storage and retrieval systems.
Database management.
Algorithms.
Automated Pattern Recognition.
Artificial Intelligence.
Computer and Information Systems Applications.
Information Storage and Retrieval.
Database Management.
Algorithms.
Q337.5 TK7882.P3
006.4