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Conferences and Meetings on Search Engines and Data Mining

Conference-Service.com offers, as part of our business activities, a directory of upcoming scientific and technical meetings. The calendar is published for the convenience of conference participants and we strive to support conference organisers who need to publish their upcoming events. Although great care is being taken to ensure the correctness of all entries, we cannot accept any liability that may arise from the presence, absence or incorrectness of any particular information on this website. Always check with the meeting organiser before making arrangements to participate in an event!

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China (1) - Hungary (1) - Ireland (2) - Norway (1) - Portugal (1) - United Kingdom (1) - United States (4)

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1.WIMS '13 — 3rd International Conference on Web Intelligence, Mining and Semantics
Dates	12 Jun 2013 → 14 Jun 2013	[ID=527909]
Location	Madrid, Norway
Weblink	http://aida.ii.uam.es/wims13/

2.CBMI 2013 — 11th International Workshop on Content-Based Multimedia Indexing
Start date	17 Jun 2013	[ID=527949]
Location	Veszprem, Hungary
Weblink	http://cbmi2013.mik.uni-pannon.hu/
Related subject(s)	Multidisciplinary or General Events in Informatics

3.SIGIR '13 — The 36th International ACM SIGIR conference on research and development in Information Retrieval
Dates	14 Jul 2013 → 19 Jul 2013	[ID=426159]
Location	Dublin, Ireland
Weblink	http://www.sigir2013.org
Related subject(s)	Information & Knowledge Management
4.ICDM 2013 — 13th Industrial Conference on Data Mining
Dates	16 Jul 2013 → 21 Jul 2013	[ID=529005]
Location	New York, United States
Abstract	The Industrial Conference on Data Mining ICDM is held on yearly basis. Researchers from all over the world will present theoretical and application-oriented topics on Data Mining. Practicioners can present and discuss their ongoing projects in Industry Sessions.
Weblink	http://www.data-mining-forum.de/2013/index.php
5.DMM'2013 — Data Mining in Marketing DMM
Start date	19 Jul 2013	[ID=528960]
Location	New York, United States
Abstract	In business environment data warehousing - the practice of creating huge, central stores of customer data that can be used throughout the enterprise - is becoming more and more common practice and, as a consequence, the importance of data mining is growing stronger. Data mining allows indeed to extract the most important information from such vast data and to uncover previously unknown patterns that may be relevant to current business problems, thereby helping business managers to transform data into business decisions. In marketing data mining has several and profitable applications. It can help to identify market segments containing customers with high-profit potential, and then build campaigns that favorably impact their behavior; to detect customers dissatisfied and ready to leave, and then align campaigns more closely with their needs; to outline profiles of prospective customers, and then increase the response rates of the acquisition campaigns, and so on.
Weblink	http://www.data-mining-forum.de/w_marketing.php
6.MLDM´2013 — 9th International Conference on Machine Learning and Data Mining
Dates	19 Jul 2013 → 25 Jul 2013	[ID=529104]
Location	New York, United States
Abstract	The aim of the conference is to bring together researchers from all over the world who deal with machine learning and data mining in order to discuss the recent status of the research and to direct further developments. Basic research papers as well as application papers are welcome.
Weblink	http://www.mldm.de/
Related subject(s)	Applied Maths: Neural Networks and Artificial Intelligence
7.SIGIR '13 — The 36th International ACM SIGIR conference on research and development in Information Retrieval
Dates	28 Jul 2013 → 01 Aug 2013	[ID=528273]
Location	Dublin, Ireland
Weblink	http://www.sigir2013.ie
Related subject(s)	Information & Knowledge Management
8.BIOKDD — 12th International Workshop on Data Mining in Bioinformatics
Start date	11 Aug 2013	[ID=545932]
Location	Chicago, United States
Abstract	The goal of this workshop is to encourage KDD researchers to take on the numerous challenges that Bioinformatics offers. This year, the workshop will feature the theme ofBuilding network and predictive models of biological processes and diseases using complex data. This field focuses on the use of computational approaches, especially from data mining and machine learning, and the large amount and variety of biological data being generated. The goal here is to build accurate predictive or descriptive network models of biological processes and diseases. These approaches have revolutionized the new age biology by enabling novel discoveries in basic biology and diseases like cancer and diabetes, as well as the development of therapeutics.
Topics	Bioinformatics, data mining, systems biology, networks, machine learning, genomics
Weblink	http://home.biokdd.org/biokdd13/
Contact	Gaurav Pandey; Email: pandey.gaurav@gmail.com
Related subject(s)	Genomics and Bioinformatics; Systems Biology and Computational Biology
9.KDIR 2013 — 5th International Conference on Knowledge Discovery and Information Retrieval
Dates	19 Sep 2013 → 22 Sep 2013	[ID=531032]
Location	Vilamoura, Portugal
Abstract	Knowledge Discovery is an interdisciplinary area focusing upon methodologies for identifying valid, novel, potentially useful and meaningful patterns from data, often based on underlying large data sets. A major aspect of Knowledge Discovery is data mining, i.e. applying data analysis and discovery algorithms that produce a particular enumeration of patterns (or models) over the data. Knowledge Discovery also includes the evaluation of patterns and identification of which add to knowledge. This has proven to be a promising approach for enhancing the intelligence of software systems and services. The ongoing rapid growth of online data due to the Internet and the widespread use of large databases have created an important need for knowledge discovery methodologies. The challenge of extracting knowledge from data draws upon research in a large number of disciplines including statistics, databases, pattern recognition, machine learning, data visualization, optimization, and high-performance computing, to deliver advanced business intelligence and web discovery solutions.
Topics	Web mining , Machine Learning Foundations of knowledge discovery in databases , Data Analytics , Data mining in electronic commerce , Interactive and online data mining , Process mining , Integration of data warehousing and data mining , Data reduction and quality assessment , Mining high-dimensional data , Mining text and semi-structured data , Mining multimedia data, Structured data analysis and statistical methods, BioInformatics & pattern discovery, Clustering and classification methods, Pre-processing and post-processing for data mining , Visual data mining and data visualization , Software development , Business intelligence applications , Information extraction , Concept Mining , Context Discovery, Optimization, Information Extraction from Emails, User Profiling and Recommender Systems, Collaborative Filtering
Weblink	http://www.kdir.ic3k.org/
Related subject(s)	Information & Knowledge Management
10.IDA 2013 — The Twelfth International Symposium on Intelligent Data Analysis
Dates	17 Oct 2013 → 19 Oct 2013	[ID=524215]
Location	London, United Kingdom
Topics	data analysis, statistics, machine learning, data mining, visualization, big data
Weblink	http://ida2013.org
Related subject(s)	Probability and Statistics; Information & Knowledge Management
11.IDEAL — 14th International Conference on Intelligent Data Engineering and Automated Learning
Dates	20 Oct 2013 → 23 Oct 2013	[ID=549346]
Location	Hefei, China
Abstract	The International Conference on Intelligent Data Engineering and Automated Learning (IDEAL) is an annual international conference dedicated to emerging and challenging topics in intelligent data analysis, data mining and their associated learning systems and paradigms. Its core themes include: the Big Data challenges, Machine Learning, Data Mining, Information Retrieval and Management, Bio- and Neuro-Informatics, Bio-Inspired Models (including Neural Networks, Evolutionary Computation and Swarm Intelligence), Agents and Hybrid Intelligent Systems, and Real-world Applications of Intelligent Techniques. Other related and emerging themes and topics are also welcome.
Weblink	http://nical.ustc.edu.cn/ideal13/

Last updated: 07 May 2013