The Second International Conference on
Mining Intelligence and Knowledge Exploration
December 10-12, 2014, University College Cork, Ireland
http://www.mike.org.in/2014/
MIKE 2014 is an interdisciplinary conference that brings together researchers and
practitioners from the domains of learning algorithms, data mining, machine learning,
knowledge exploration, large-scale data analytics, big data, soft computing and
information systems. MIKE focuses on a specialised topic every year and the theme for
this year is: Learning to explore Business Intelligence.
The MIKE 2014 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.
IMPORTANT DATES
Workshop Proposal
: June 21, 2014 (Please write to us your proposal)
Abstracts due (Optional)
Papers due
: August 24, 2014, 11:59pm PST
: August 31, 2014, 11:59pm PST
September 10, 2014, 11:59pm PST (Extended)
: September 30, 2014
: December 10-12, 2014
Paper acceptance notification
Conference
Call for Papers
OVERVIEW
Springer publishes MIKE 2014 Proceedings in Lecture Notes in Artificial Intelligence (LNAI).
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 2014 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
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
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
Snippet Generation
Summarization - context sensitive
Text mining architecture /
frameworks
Textual case based reasoning
Visual analytics for text mining
/exploration
Visual Exploration
Call for Papers
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 vital information
Mining Complex behaviors of users
Mining Game Sequences
Mining Info from recommender systems
Mining routing patterns in networks
REVIEW CRITERIA
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. 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.
DOUBLE-BLIND REVIEW
MIKE 2014 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 wby 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’ identities.
g) Avoid providing links to websites that identify the authors.
SUBMISSION PROCEDURE
Papers must be submitted online through EasyChair system following the submission link:
https://www.easychair.org/conferences/?conf=mike2014
PROCEEDINGS
All accepted papers will appear in the Lecture Notes in Artificial Intelligence (LNCS/LNAI) series
published by Springer and will be indexed by DBLP, Scopus and other popular indexing systems.
Additionally authors of selected best papers will be invited to submit extended versions for a number of
special issue journals (for more details, please check the website).
Papers MUST be submitted in Springer LNCS format, which is the format required for the
final camera ready copy. We will accept:
Long papers: with a maximum of 10 pages
Short papers: with a maximum of 6 pages
Both long and short papers will be considered for poster and oral (short or long)
presentation at the conference based on the reviewing criteria above. Authors'
instructions along with LaTeX (preferred) and Word macro files are available on the web
at Springer's Information for LNCS Authors page
(http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0).
Call for Papers
Authors should note that the papers should be of maximum 10 A4 pages (including figures
and tables) and manuscripts must be prepared with LaTex2e (llncs2e.zip).
LaTeX Format: ftp://ftp.springer.de/pub/tex/latex/llncs/latex2e/llncs2e.zip
Authors of accepted papers are required to transfer the copyright to Springer. All submissions are
required to be in electronic format.
Multiple Submission Policy
Papers submitted to other conferences or journals must state this fact. If a paper will appear in another
conference or journal, it must be withdrawn from MIKE 2014. This restriction does not apply to papers
appearing in proceedings of specialised MIKE workshops.
Author Registration Policy
In order for a paper to appear in the proceedings, at least one of the authors MUST register for the
conference by the camera-ready copy deadline.
INVITED SPEAKERS
Sudeshna Sarkar, Indian Institute of Technology, Kharagpur
Donagh Buckley, Director and CTO, EMC Research Europe
Paolo Rosso, Universitat Politècnica de València, Spain
Nirmalie Wiratunga, Robert Gordon University, Aberdeen, Scotland, UK
ORGANIZERS
Philip O'Reilly and Rajendra Prasath
University College Cork, Ireland
CO-ORGANIZERS:
Amitava Das, University of North Texas, Texas, USA
Erik Cambria, Nanyang Technological University, Singapore
PROGRAM COMMITTEE (YET TO ADD MORE):
Agnar Aamodt, Norwegian University of Science and Technology, Trondheim, Norway
Aidan Duane, Waterford Institute of Technology, Ireland
Amitava Das, University of North Texas, Denton, USA
Anil Kumar Vuppala, International Institute of Information Technology, India
Anupam Basu, Indian Institute of Technology, Kharagpur, India
Aradhna Malik, Indian Institute of Technology, Kharagpur, India
SEND YOUR QUERIES TO:
Philip O'Reilly [OR] Rajendra Prasath
Business Information Systems, University College Cork
National University of Ireland, O'Rahilly Building, Cork, Ireland
Email: [email protected] / [email protected]
Phone: +353 21 490 3833
Call for Papers
Chaman Sabharwal, Missouri University of Science and Technology, USA
Debasis Ganguly, Dublin City University, Ireland
Diana Trandabat, University Al. I. Cuza of Iasi, Romania
Dipti Misra Sharma, International Institute of Information Technology, India
Gloria Ines Alvarez, Pontificia Universidad Javeriana Cali, Colombia
Huayu WU, Institute for Infocomm Research (I2R), Singapore
Inah Omoronyia, University of Glasgow, Scotland
Isis Bonet Cruz, Antioquia School of Engineering, Medellin, Colombia
Jian-Yun Nie, University of Montreal, Canada
Kamal Kumar Choudhary, Indian Institute of Technology, Ropar, India
M. Gethsiyal Augasta, Sarah Tucker College, Tirunelveli, India
Maciej Ogrodniczuk, Institute of Computer Science, Polish Academy of Sciences, Poland
Mandar Mitra, Indian Statistical Institute, Kolkata, India
Marco Palomino, University of Exeter, UK
Maunendra De sarkar, Samsung R&D Institute India, Bangalore
Muthu Ramakrishnan M., Ngee Ann Polytechnic, Singapore
Niloy Ganguly, Indian Institute of Technology, Kharagpur, India
P.V. Rajkumar, University of Texas, San Antonio, USA
Pinar Ozturk, Norwegian University of Science and Technology, Trondheim, Norway
Plaban Kumar Bhowmick, Indian Institute of Technology, Kharagpur, India
Prasenjit Majumdar, DAIICT, Gandhinagar, India
Rajarshi Pal, IDRBT, Hyderabad, India
Ramakrishnan. K, Pondicherry Engineering College, Pondicherry, India
Ramon Lopaz de Mantaras, IIIA - CSIC, Barcelona, Spain
Ranjani Parthasarathi, Anna University - College of Engineering, India
Sanjay Chatterji, Samsung R&D Institute India, Bangalore, India
Sangwoo Kim, University of California, San Diego
Santiago Ontanon, Drexel University, USA
Saurav Sahay, Intel Labs, USA
Subba Reddy, Gyeongsang National University, Jinju 660-701, Korea
Sudip Roy, National Cheng Kung University, Taiwan
Sumit Goswami, DRDO, Govt of India
Sylvester Olubolu Orimaye, Monash University, Malaysia
T.Kathirvalavakumar, VHNSN College (Autonomous), Virudhunagar, India
T.V.Vijay Kumar, Jawaharlal Nehru University, New Delhi, India
Uttama Lahiri, Indian Institute of Technology, Gandhinagar, India
V.Pallavi, Philips Innovation Campus, Bangalore
Vamsi Krishna Velidi, ISRO Satellite Centre (ISAC), ISRO, Bangalore, India
Wei Lee Woon, Masdar Institute, Abu Dhabi, UAE
Xiaolong Wu, California State University, USA
Yutaka Maeda, Kansai University, Japan
Zeyar Aung, Masdar Institute of Science and Technology, Abu Dhabi, UAE
... Yet to add more
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