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    PAKDD 2012 - 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining PAKDD2012

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    Category PAKDD 2012

    Deadline: October 02, 2011 | Date: May 29, 2012-June 01, 2012

    Venue/Country: Kuala Lumpur, Malaysia

    Updated: 2011-06-04 00:30:31 (GMT+9)

    Call For Papers - CFP

    The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) is a leading international conference in the areas of data mining and knowledge discovery (KDD). It provides an international forum for researchers and industry practitioners to share their new ideas, original research results and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, aritificial intelligence, databases, statistics, knowledge engineering, visualization, and decision-making systems.

    http://pakdd2012.pakdd.org/

    The conference calls for research papers reporting original investigation results and industrial papers reporting real data mining applications and system development experience.

    The conference will confer a Best Paper Award to the best full paper, and the Best Student Papers from amongst the student submissions. The proceedings of the conference will be published by Springer as a volume of the LNAI series.

    PAKDD2012 will be held in Kuala Lumpur, one of the most attractive cities in Malaysia.

    The topics of the conference and workshop papers fall into three major categories that will include but are not limited to the following:

    A. DATA MINING FOUNDATIONS

    Theoretic foundations

    Novel models and algorithms

    Mining emerging data types

    Mining mixed and multi-source data

    Mining complex sequential data

    Mining spatial and temporal data

    Mining textual and semi-structured/unstructured data

    Parallel, distributed and combined data mining

    Privacy data analysis

    Mining high dimensional data

    Statistical foundations

    B. MINING IN EMERGING DOMAINS

    Stream/dynamic data mining

    Visual data mining

    Mining behavioral data

    Ubiquitous knowledge discovery

    Mining multi-agent data and agent-based data mining

    Mining linkages, networks and communities

    Mining the Internet and social networks

    Financial data mining

    Opinion and sentiment analysis

    Mining imbalanced data

    Mining graphic data

    Security, risk, cost, impact, trust and repeatibility etc.

    Interactive and online mining

    Integration of data warehousing, OLAP and data mining

    Massive data mining on cloud platforms

    C. PROCESS AND APPLICATIONS

    Actionable knowledge discovery

    Developing a unifying theory of data mining

    Data pre-processing and transformation

    Feature selection and extraction

    Post-processing and post mining

    Deliverable representation and presentation

    Automating the mining process

    Human, domain, organizational and social factors in data mining

    Quality assessment and validation

    Data mining languages

    High performance implementations of data mining algorithms

    Intrusion detection and surveillance analysis

    Healthcare, health, drug and medical data analysis

    Bioinformatics, computational chemistry, ecoinformatics

    Fraud and risk analysis

    Other applications such as supply chain intelligence

    Lessons and experiences

    IMPORTANT DATES

    Abstract Submission Due: 25 September, 2011 (Sunday)

    Paper Submission Due: 2 October, 2011 (Sunday)

    Author Notification: 30 December, 2011 (Friday)

    Camera Ready Due: 22 January, 2012 (Sunday)

    Workshop Proposal Due: 28 August, 2011 (Sunday)

    Workshop Notification: 11 September, 2011 (Sunday)

    Tutorial Proposal Due: 13 November, 2011 (Sunday)

    Tutorial Notification: 4 December, 2011 (Sunday)

    Conference: 29 May - 1 June, 2012


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.