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MIKE 2016
The Fourth International Conference on
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

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.

Submission Topics:

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
    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 / 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
    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 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 (

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:

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!!

Organizing Chairs:

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!!

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


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
Mexico City

Email: gelbukh[@] / gelbukh[@]
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)
311, IT-bygget,
Sem Saelands vei 9
7491, Norway

Phone: +47 4650 6417

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