posted by user: doublet || 78666 views || tracked by 375 users: [display]

KDD 2015 : 21th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

FacebookTwitterLinkedInGoogle


Conference Series : Knowledge Discovery and Data Mining
 
Link: http://www.kdd.org/kdd2015/
 
When Aug 10, 2015 - Aug 13, 2015
Where Sydney, Australia
Submission Deadline Feb 20, 2015
Notification Due May 12, 2015
Categories    data mining   knowledge discovery
 

Call For Papers

We invite submission of papers describing innovative research on all aspects of knowledge discovery and data mining, ranging from theoretical foundations to novel models and algorithms for data mining problems in science, business, medicine, and engineering. Visionary papers on new and emerging topics are also welcome, as are application-oriented papers that make innovative technical contributions to research. Authors are explicitly discouraged from submitting incremental results that do not provide significant advances over existing approaches.

Papers submitted to the Research Track are solicited in all areas of data mining, knowledge discovery, and large-scale data analytics, including, but not limited to:

Big Data: Efficient and distributed data mining platforms and algorithms, systems for large-scale data analytics of textual and graph data, large-scale machine learning systems, distributed computing (cloud, map-reduce, MPI), large-scale optimization, and novel statistical techniques for big data.

Data Science: Methods for analyzing scientific data, business data, social network analysis, recommender systems, mining sequences, time series analysis, online advertising, bioinformatics, systems biology, text/web analysis, mining temporal and spatial data, and multimedia processing.

Foundations of Data Mining: Data mining methodology, data mining model selection, visualization, asymptotic analysis, information theory, security and privacy, graph and link mining, rule and pattern mining, web mining, dimensionality reduction and manifold learning, combinatorial optimization, relational and structured learning, matrix and tensor methods, classification and regression methods, semi-supervised learning, and unsupervised learning and clustering.

Related Resources

ICDMML 2020   【EI SCOPUS】2020 International Conference on Data Mining and Machine Learning
KDD 2019   25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING
CLNLP 2020   2020 International Conference on Computational Linguistics and Natural Language Processing (CLNLP 2020)
TrueFact 2019   KDD 2019 Workshop on Truth Discovery and Fact Checking: Theory and Practice
Ei ISEEIE 2019   2019 2nd International Symposium on Electrical, Electronics and Information Engineering(ISEEIE 2019)
BIOTC--ACM, Ei and Scopus 2020   ACM--2020 2nd Blockchain and Internet of Things Conference (BIOTC 2020)--Ei Compendex, Scopus
CDKP 2020   9th International Conference on Data Mining & Knowledge Management Process
Data Science 2020   3nd Annual International Great Lakes Data Science Symposium
NLPIR--ACM, Ei and Scopus 2020   ACM--2020 4th International Conference on Natural Language Processing and Information Retrieval (NLPIR 2020)--Scopus, Ei Compendex
IJMPICT 2019   International Journal of Managing Public Sector Information and Communication Technologies