The Fourth International Conference on
MINING INTELLIGENCE AND KNOWLEDGE EXPLORATION (MIKE 2016)
November 13 - 19, 2016
Center for Computing Research (CIC) of the National Polytechnic Institute (IPN), Mexico City
MIKE 2016 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.
Workshop Proposal: June 30, 2016
Submission of Research Articles:
Abstract (Optional): August 5, 2016, 11:59pm PST
Full Paper : August 12, 2016, 11:59pm PST (Extended)
Notification : September 01, 2016
Camera Ready Copy : September 07, 2016 (11:59 pm PST)
Conference : November 13 - 19, 2016
CALL FOR PAPERS
The MIKE 2016 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 2016 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 a few special issue journals for selected papers. Authors of the selected papers would be called for submitting the extended version of their papers for the selected special issue journal.
The MIKE 2016 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
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
Intelligent / oFcused 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
Social Web Search
Signal processing / Signal understanding
Summarization - context sensitive
Text mining architecture / frameworks
Textual case based reasoning
Visual analytics for text mining /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 2016 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.
Papers must be submitted online through EasyChair system following the submission link:
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 (http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0).
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 2016. 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.
We will shortly announce the list of invited speakers! ... Please wait!!
Prof. Dr. Alexander Gelbukh
National Polytechnic Institute, Mexico City
Dr. Rajendra Prasath
Norwegian University of Science and Technology, Trondheim, Norway
Co-Organizing Chairs and Publications Chair
Prof. Byung-Gyu Kim
Sookmyung Women's University, Seoul, South Korea
Prof. Pinar Ozturk
Norwegian University of Science and Technology, Trondheim, Norway
Dr. Amitava Das
Indian Institute of Information Technology, Sri City, India
We will announce various tracks shortly. Stay tuned with us!!
PROGRAM COMMITTEE (YET TO ADD MORE):
Agnar Aamodt, Norwegian University of Science and Technology, Norway
Amitava Das, Indian Institute of Information Technology, Sri City, India
Anil Kumar Sao, Indian Institute of Technology, Mandi
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
Erik Cambria, Nanyang Technological University, Singapore
Gloria Ines Alvarez, Pontificia Universidad Javeriana Cali, Colombia
Hrishikesh Venkataraman, Indian Institute of Information Technology, Sri City, India
Huayu WU, Institute for Infocomm Research (I2R), Singapore
Inah Omoronyia, University of Glasgow, Scotland, UK
Isis Bonet Cruz, Antioquia School of Engineering, Medellin, Colombia
Joydeep Chandra, Indian Institute of Technology, Patna
Jian-Yun Nie, University of Montreal, Canada
K. Sreenivasa Rao, Indian Institute of Technology, Kharagpur, India
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
Manish Shrivastava, IIIT Hyderabad, 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
Philip O'Reilly, University College Cork, Cork, Ireland
Pinar Ozturk, Norwegian University of Science and Technology, Norway
Plaban Kumar Bhowmick, Indian Institute of Technology, Kharagpur, India
Prasenjit Majumdar, DAIICT, Gandhinagar, India
Praveen Paruchuri, IIIT Hyderabad, India
Radhika Mamidi, IIIT Hyderabad, India
Rajarshi Pal, IDRBT, Hyderabad, India
Ramon Lopaz de Mantaras, IIIA - CSIC, Barcelona, Spain
Ramakrishnan K, Pondicherry Engineering College, Pondicherry, India
Ranjani Parthasarathi, Anna University - College of Engineering, India
Sanjay Chatterji, Samsung R&D Institute India, Bangalore, India
Sangwoo Kim, University of California, San Diego, USA
Santiago Ontanon, Drexel University, USA
Saurav Sahay, Intel Labs, USA
Snehasis Mukherjee, Indian Institute of Information Technology, Sri City, India
Soma Paul, IIIT Hyderabad, India
Subba Reddy, Gyeongsang National University, Jinju, Korea
Sudeshna Sarkar, Indian Institute of Technology, Kharagpur, India
Sudip Roy, National Cheng Kung University, Taiwan
Sumit Goswami, DRDO, India
Suryakanth V Gangashetty, IIIT, Hyderabad, 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
Vasudha Bhatnagar, University of Delhi, 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:
Prof. Dr. Alexander Gelbukh
Centro de Investigaci처n en Computaci처n (Center for Computing Research, CIC)
Instituto Polit챕cnico Nacional (National Polytechnic Institute, IPN)
Av. Juan Dios B찼tiz s/n, casi esq. Av. Mendiz찼bal
Col. Nueva Industrial Vallejo
CP 07738, DF
Email: gelbukh[@]gelbukh.com / gelbukh[@]cic.ipn.mx
Office phone: (+52 55) 5729-6000, ext. 56544, 56518
Cell phone: (+52 1) 55-1810-4587
Dr. Rajendra Prasath
Department of Computer and Information Science (IDI)
Norwegian University of Science and Technology (NTNU)
Sem Saelands vei 9
Phone: +47 4650 6417