posted by user: doublet || 95766 views || tracked by 372 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 2021   27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
DS4IDS@FiCloud 2021   The 4th International Workshop on Data Science for Intelligent Decision Support (DS4IDS 2021)
ICDM 2021   21st IEEE International Conference on Data Mining
ECML PKDD 2021   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
MECHATROJ 2021   Mechatronics and Applications: An International Journal (MECHATROJ)
IJDPS 2021   International Journal of Distributed and Parallel systems
ECML PKDD 2021   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
ICSRS--Scopus & EI Compendex 2021   2021 5th International Conference on System Reliability and Safety (ICSRS 2021)--Scopus & EI Compendex
DTMN 2021   7th International Conference on Data Mining
iDSC 2021   4th International Data Science Conference