posted by user: doublet || 60468 views || tracked by 377 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

KDD 2018   Knowledge Discovery and Data Mining Conference
ICDM 2018   IEEE International Conference on Data Mining
Ei ICEPOE 2019   2019 3rd International Conference on Engineering Physics and Optoelectronic Engineering (ICEPOE 2019)
WSDM 2019   WSDM 2019: The 12th ACM International Conference on Web Search and Data Mining
TIST Special Issue 2018   ACM TIST Special Issue on Advances in Causal Discovery and Inference
IJIST 2018   The International Journal of Information Science & techniques
CDEC 2018   The 1st International Workshop on Cross-disciplinary Data Exchange and Collaboration (CDEC)
ISCSAI 2018   2018 International Symposium on Computer Science and Artificial Intelligence
JoL 2018   International Journal of Law
WSDM Demonstrations 2019   Call for Demonstrations -- WSDM 2019: The 12th ACM International Conference on Web Search and Data Mining @ Melbourne, Australia, Feb. 11-15, 2019