Springer Publishes MIKE 2014 Proceedings in Lecture Notes in Artificial Intelligence (LNAI)

The Second International Conference on
Mining Intelligence and Knowledge Exploration
December 10-12, 2014, University College Cork, Ireland

OVERVIEW

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):August 24, 2014, 11:59pm PST
Papers due:August 31, 2014, 11:59pm PST

September 10, 2014, 11:59pm PST(Extended)
Paper acceptance notification:September 30, 2014
Conference:December 10-12, 2014

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
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
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

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:

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).
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).
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 (
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

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

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: /

Phone: +353 21 490 3833