MIKE 2015 - Third International Conference on Mining Intelligence and Knowledge Exploration

The MIKE 2015 Program Committee invites submissions of original theoretical research, applied research and deployed application papers on all aspects of Data Mining, Learning theory and Knowledge Discovery. Example submission areas include, but are not limited to:
Advances in Machine Learning
Algorithms for Intelligent Learning
Analogical, cognitive, and creative reasoning
Case Based Recommender Systems
Collective Learning and Tagging
Context aware techniques
Cross / Multi Language content mining
Crowdsourcing &Crowd Mining Algorithms and Systems
for Big Data Search (HANA, Terracotta, Hadoop)
Distributed and Peer-to-peer Search
Distributed Mining of Human expertise
Dynamics of Complex/Social Networks
Events Extraction in Unstructured Text mining
Experience-based Knowledge Exploration
Uncertainties in Knowledge Exploration
Image Processing and Understanding
Cascade / Imitation Learning
Inference of what a text can afford
Intelligent /Focused Information Retrieval
Knowledge Discovery from Data
Learning theory with Neural Networks
Learning to Data/Text mining
Machine Translation approaches using CBR
Mining Complex behaviors of users
Mining Game Sequences
Mining Info from recommender systems
Mining routing patterns in networks
Opinion mining from reviews
Query segmentation and structuring
Real-time applications of text mining
Reuse of human expertise / experience
Self learning structures / framework
Signal processing / Signal understanding
Social Web Search
Text mining architecture / frameworks
Textual case based reasoning
Visual analytics for text mining /exploration