Conference Information
MIKE 2015 : International Conference on Mining Intelligence and Knowledge Exploration
Submission Date:
Notification Date:
Conference Date:
Hyderabad, India
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Conference Location
Call For Papers
The MIKE 2015 Program Committee invites submissions of original 1. theoretical research papers, 2. applied research papers and 3. deployed application papers on all aspects of Learning Algorithms, Data / Text Mining and Knowledge discovery techniques for the main technical program.
Springer will publish MIKE 2015 Proceedings in their Lecture Notes in Artificial Intelligence (LNAI) series. The accepted papers will be indexed by very popular Abstracting and Indexing (A&I) databases like DBLP, Scopus and ArnetMiner; SCI Compendex; and others. Additionally, we are planning to have special issue journals for selected papers.

Submission Topics:

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
    Business Intelligence
    Case Based Recommender Systems
    Collective Learning and Tagging
    Context aware techniques
    Cross / Multi Language content mining
    Crowdsourcing & Crowd Mining Algorithms and Systems
    Big Data Search (HANA, Terracotta, Hadoop)
    Bioinformatics - Reasoning and Learning
    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
    Innovation Strategies
    Intelligent /Focused Information Retrieval
    Knowledge Discovery from Data
    Learning contextual factors
    Learning theory with Neural Networks
    Learning to Data/Text mining
    Learning to Innovate new product / service
    Learning to generate new business models
    Learning to explore information granules
    Machine Translation approaches using CBR
    Medical Data - Extracting / inferring vital information
    Mining Complex behaviours of users
    Mining Game Sequences
    Mining Info from recommender systems
    Mining routing patterns in networks
    Multi-faceted Information Fusion
    Opinion mining from reviews
    Query segmentation and structuring
    Real-time applications of text mining
    Reuse of human expertise / experience
    Search Anything - Smart Search
    Self learning structures / framework
    Sentiment Analysis
    Social Web Search
	Signal processing / Signal understanding
    Snippet Generation
    Summarization - context sensitive
    Text mining architecture / frameworks
    Textual case based reasoning
    Visual analytics for text mining /exploration
    Visual Exploration

Each submission must be identified as either 1. theoretical research 2. applied research, or 3. a deployed application paper and will be reviewed using criteria appropriate to its category. The criteria are as follows:

Paper Category: Theoretical/Methodological research paper
Review Criteria: Scientific significance; originality; technical quality; and clarity

Paper Category: Applied research paper
Review Criteria: Significance for scientific research or innovative commercial deployment; originality; technical quality; and clarity

Paper Category: Deployed application paper
Review Criteria: Demonstrated practical, social, environmental or economic significance; originality; treatment of issues of engineering, management & user acceptance; and clarity.

Most importantly, the review process is double-blind reviewed and hence the authors are instructed not to include anywhere in the submission, their identity, affiliation(s) or contact details. Violating this restriction will lead to disqualification of the paper from the review process.

All papers should be prepared and submitted according to the following guidelines.

MIKE 2015 uses a double-blind review process for paper selection. 

a) Authors should not know the names of the reviewers of their papers, and reviewers should not know the name(s) of the authors. 
b) Please prepare your paper in a way that preserves anonymity of the authors.

c) Do not put your name(s) under the title.

d) Avoid using phrases such as "our previous work" when referring to earlier publications by the authors.

e) Remove information that may identify the authors in the acknowledgments (e.g., co-workers and grant IDs).

f) Check supplemental material (e.g., titles in the video clips, or supplementary documents) for information that may identify the authors identity.

g) Avoid providing links to websites that identify the authors.
Last updated by Dou Sun in 2015-07-12
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