From pan from cs.gsu.edu Tue Dec 4 11:34:53 2007 From: pan from cs.gsu.edu (Yi Pan) Date: Tue Dec 4 12:24:12 2007 Subject: [Bio-matrix] Call for Bioinformatics Book Projetcts In-Reply-To: References: Message-ID: Dear Colleagues: I and Prof. Albert Zomaya have served as Editors-in-Chief for the Wiley Book Series on Bioinformatics for over one year. So far, the book series has been very successful. The first book was published a few months ago, and eight books are either in press or in the planning stage. Please take a look at book series web page for more information: http://www.cs.gsu.edu/~cscyip/WileyBook.htm If you are interested in editing or authoring a book related to bioinformatics, please contact us. Below is the detailed information on the book series. For more information, go to the home page at http://www.cs.gsu.edu/~cscyip/WileyBook.htm -------------------------------------------------------------------------- Dr. Yi Pan Chair and Professor Department of Computer Science Georgia State University 34 Peachtree Street, Suite 1450 Atlanta, GA 30302-4110, USA email: pan@cs.gsu.edu Phone: (404) 413-5719 Fax: (404) 413-5717 http://www.cs.gsu.edu/pan -------------------------------------------------------------------------- Wiley Book Series on Bioinformatics: Computational Techniques and Engineering http://www.cs.gsu.edu/pan/WileyBook.htm AIMS: Research and development in bioinformatics and computational biology require the cooperation of specialists from the fields of biology, computer science, mathematics, statistics, physics, and such related sciences. It is the comprehensive application of mathematics (e.g., probability and graph theory), statistics, science (e.g., biochemistry), and computer science (e.g., computer algorithms and machine learning) to the understanding of living systems. Bioinformatics is fast emerging as an important discipline for academic research and industrial application. The large size of biological data sets, inherent complexity of biological problems and the ability to deal with error-prone data all result in special requirements such as large memory space and huge computation time. These challenges require computer scientists to rethink our traditional methods and algorithms and to adapt to the new research area. The objective of this book series is therefore to provide timely treatments of the different aspects of bioinformatics spanning theory, new and established techniques, enabling technologies and tools, and application domains. SCOPE: This series emphasizes the algorithmic, mathematical, statistical and computational methods that are central in bioinformatics and computational biology. Although the possible set of book topics is large, the following areas are particularly suitable for our book series (but not exhaustive): Bioinformatic databases Biomedical image processing (segmentation, registration, fusion) Bio-ontology and data mining Computational genomics Computational intelligence in bioinformatics Data visualisation DNA assembly, clustering, and mapping Drug design Gene expression and microarrays Gene identification and annotation Machine learning methods in bioinformatics Molecular evolution and phylogeny Molecular modeling and simulation Protein, RNA and DNA sequence analysis Parallel computing in bioinformatics Phylogeny reconstruction algorithms Protein and RNA structure prediction Sequence assembly, sequence search and alignment System biology WILEY BOOK SERIES ON BIOINFORMATICS Series Editors: Yi Pan and Albert Y. Zomaya Current Volumes Knowledge Discovery in Bioinformatics: Techniques, Methods, and Applications (Tony Hu & Yi Pan) Future Volumes ? Grid Computing for Bioinformatics (Talbi & Zomaya) ? Biological Networks Analysis (Bj?rn H. Junker & Falk Schreiber) ? Bioinformatics Algorithms: Techniques and Applications (Alexander Zelikovsky and Ion Mandoiu) ? Machine Learning in Bioinformatics (Yanqing Zhang and Jagath Rajapakse) ? Computational Approaches for Protein Function Prediction (Gaurav Pandey, Vipin Kumar, and Michael Steinbach) ? Classification Analysis of DNA Microarray Data (Leif Peterson) ? Elements of Computational Systems Biology (Lodhi and Muggleton) ? Biomolecular Networks - Computational Methods and Applications in Bioinformatics and Systems Biology (Luonan Chen, Rui-Sheng Wang, Xiang-Sun Zhang) Formatting Instructions: Below is the link to the guidelines for preparing the LaTex style for the manuscript. The link also contains guidelines for various other aspects of submitting the final manuscript. http://www.wiley.com/WileyCDA/Section/id-862.html If you are interested in writing or editing a book, you are encouraged to submit a proposal (see a proposal template at http://www.cs.gsu.edu/pan/wiley-proposal.doc) to one of the following Series Editors: Series Editors: Professor Yi Pan Chair Department of Computer Science Georgia State University Atlanta, GA 30303, USA Phone: (404) 413-5719 Fax: (404) 413-5717, Email: pan@cs.gsu.edu http://www.cs.gsu.edu/pan Professor Albert Y. Zomaya CISCO Systems Chair Professor School of Information Technologies Madsen Building, F09 The University of Sydney Sydney, NSW 2006 AUSTRALIA Tel. +61 2 9351 6442 Fax +61 2 9351 3838 Email: zomaya@it.usyd.edu.au http://www.it.usyd.edu.au/~zomaya Publisher Paul Petralia Senior Editor Wiley Interscience 111 River Street Hoboken, NJ 07030-5774 201-748-8784 ppetrali@wiley.com http://www.wiley.com/WileyCDA/ -- From javeda from cs.rpi.edu Mon Dec 10 12:25:38 2007 From: javeda from cs.rpi.edu (javeda@cs.rpi.edu) Date: Mon Dec 10 13:22:36 2007 Subject: [Bio-matrix] workshop on Data Mining for Biomedical Informatics at SDM08 Message-ID: <2204.72.230.6.173.1197307538.squirrel@webmail.cs.rpi.edu> Dear Colleague: We would like to bring to your attention a workshop on Data Mining for Biomedical Informatics at the SIAM International Conference on Data Mining (SDM08), in Atlanta, Georgia, April 24 - 26, 2008. This is the second workshop in the series of Data Mining for Biomedical Informatics workshops held in conjunction with SDM. The URL for the workshop is: http://www.cs.rpi.edu/DMBIO08/ This workshop intends to provide a venue to facilitate the exchange of ideas between scientists in computer science, biology, mathematics and clinical research by bringing together researchers to discuss and present sources of data, research topics that may be addressed by such data, and data mining algorithms that may be used to analyze them. We encourage the submission of papers that use techniques from disciplines such as statistics, linear algebra, functional analysis, and signal processing, applied in some biomedical domain, as well as papers exposing rich sources of publicly available biomedical data that are of interest to the data mining community. Important Dates =============== Papers due: January 11, 2008 Notification of acceptance: January 20, 2008 Final version: February 4, 2008 Workshop: April 26, 2008 We are looking forward to receiving your submission. With best regards, Asif Javed, Publicity Chair javeda@cs.rpi.edu On behalf of the organizers Petros Drineas drinep@cs.rpi.edu Michael W. Mahoney mahoney@yahoo-inc.com Rui Kuang kuang@cs.umn.edu From zhaoyanchang from hotmail.com Wed Dec 19 04:22:33 2007 From: zhaoyanchang from hotmail.com (yczhao) Date: Wed Dec 19 14:51:34 2007 Subject: [Bio-matrix] Deadline approaching: Call for book chapters - Proposal Submission Deadline: Dec 31, 2007 Message-ID: <14413551.post@talk.nabble.com> *********************************************************** CALL FOR CHAPTERS Proposal Submission Deadline: Dec 31, 2007 Full Chapter Due: Apr 30, 2008 Post-Mining of Association Rules: Techniques for Effective Knowledge Extraction A book edited by Dr. Yanchang Zhao, Prof. Chengqi Zhang and Dr. Longbing Cao To be published by IGI Global (formerly Idea Group) http://www-staff.it.uts.edu.au/~yczhao/IGI-book/CFC.htm *********************************************************** Introduction ------------ There are often a huge number of association rules discovered in a data mining practice, making it difficult for users to identify those that are of particular interest to them. Therefore, it is important to remove insignificant rules and prune redundancy as well as summarize, visualize and post-mine the discovered rules. Moreover, the information we can get from traditional association rules is very limited, so new forms of association rules are needed to discover useful and actionable knowledge. The book aims to present a whole picture of the post-analysis, summarization and new forms of association rules and introduce the up-to-date research on the above topics to extract useful knowledge from a large number of discovered association rules. The Overall Objective of the Book --------------------------------- The book will focus on the post-analysis of association rules to extract useful and actionable knowledge from a large number of discovered rules. It will cover interest, redundancy, post-mining, summarization, presentation and visualization of association rules, as well as novel forms and new trends of association rules. It will not only present academia with a systematic view of the current research progress on the above topics, but it will also help industry learn from the ideas and apply them to find actionable knowledge in real-world applications. The Target Audience ------------------- The audience of this book will be researchers in the field of data mining, postgraduate students who are interested in data mining, and industry data miners. Note that the audience is not limited to those interested in association rules because the post-mining of association rules involves clustering, classification and many other techniques of data mining, as well as statistics and artificial intelligence, which are actually beyond association rule mining itself. Recommended topics include, but not limited to: ----------------------------------------------- * Subjective & objective interestingness * Removing redundancy in association rules * Summarization and generalization of association rules * Presentation and visualization of association rules * Maintenance of association rules * Post-mining of association rules, e.g., clustering association rules * Class association rules and association classifier * Quantitative association rules and inter-transaction association rules * New forms/challenges/trends of association rules and association mining Important Dates --------------- Proposal submission deadline: December 31, 2007 Notification of proposal acceptance: January 31, 2008 Full chapter submission: April 30, 2008 Notification of chapter review: June 30, 2008 Revised chapter submission: July 30, 2008 Final notification of acceptance: August 15, 2008 Camera ready copy submission: September 15, 2008 Submission Procedure -------------------- Researchers and practitioners are invited to submit on or before December 31, 2007, a 2-5 page manuscript proposal clearly explaining the mission and concerns of the proposed chapter. Authors of accepted proposals will be notified by January 31, 2008 about the status of their proposals and sent chapter organizational guidelines. Full chapters are expected to be submitted by April 30, 2008. All submitted chapters will be reviewed on a double-blind review basis. The book is scheduled to be published by IGI Global (formerly Idea Group), www.igi-global.com, publisher of the IGI Publishing (Idea Group Publishing), Information Science Publishing, IRM Press, CyberTech Publishing, Information Science Reference (formerly Idea Group Reference) and Medical Information Science Reference imprints. Detailed instructions will be available at http://www-staff.it.uts.edu.au/~yczhao/IGI-book/CFC.htm. Contact ------- Inquiries and submissions can be forwarded electronically (Word document) to: Dr. Yanchang Zhao Faculty of Information Technology, University of Technology, Sydney (UTS), Australia Tel.: +61 2 6131 0264 Mobile: +61 4300 93392 Email: yczhao@it.uts.edu.au -- View this message in context: http://www.nabble.com/Deadline-approaching%3A-Call-for-book-chapters---Proposal-Submission-Deadline%3A-Dec-31%2C-2007-tp14413551p14413551.html Sent from the Bio.net - Biomatrx mailing list archive at Nabble.com. From torsello from di.uniba.it Thu Dec 20 09:33:19 2007 From: torsello from di.uniba.it (Maria Alessandra Torsello) Date: Thu Dec 20 11:26:12 2007 Subject: [Bio-matrix] KES 2008 - Special session on Computational Intelligence techniques for Web personalization Message-ID: <20071220143746.3931130D19@rubrum.di.uniba.it> Dear Colleague, Please consider submitting your original research works in KES-08 under the special session “Computational Intelligence Techniques for Web Personalization”. We would appreciate if you please distribute the solicitation to your colleagues who may be interested. Key Deadlines: Feb. 15, 2008: Submission of papers (about 5 to 8pages) April 1, 2008: Notification of acceptance May 1, 2008: Camera-Ready papers and Registration due Kind Regards, Giovanna Castellano Maria Alessandra Torsello KES 2008 (HYPERLINK "http://kes2008.kesinternational.org/"http://kes2008.kesinternational.org/) 12th International Conference on Knowledge-Based Intelligent Information & Engineering Systems 3, 4 & 5 September 2008, Zagreb, Croatia Call for Papers Invited Session on Computational Intelligence Techniques for Web Personalization Scope of the session Web personalization can be defined as any set of actions that adapts the information or services provided by a Web site to the needs of a user or a set of users. In other words, Web personalization includes any action that is able to tailor the Web experience to the users visiting a Web site, taking advantage of the knowledge gained from the users' navigational behaviour and individual interests, in combination with the content and the structure of the Web site. Efficient and intelligent techniques are needed to mine this knowledge from these different sources of information and to effectively exploit the discovered knowledge to enhance the user Web experience. To achieve effective personalization, many challenges have to be addressed: the huge size of data, its dynamic and heterogeneous nature, the ambiguity and the uncertainty of the user interactions with the Web site, and so on. A natural candidate to face with these challenges is Computational Intelligence (CI), a consortium of computing paradigms that work synergistically to exploit the tolerance for imprecision, uncertainty, approximate reasoning, and partial truth in order to provide flexible information processing capabilities and obtain low-cost solutions and close resemblance to human-like decision making. Recently, Computational Web Intelligence (CWI) has been recognized as a new important research direction which uses CI techniques for the development of intelligent Web-based applications with the aim of improving the quality of intelligence in the Web technology. In this field, many research efforts have been addressed to assess the potentiality of CI techniques in the realm of Web personalization. The goal of this session is to bring together all interested researchers to exchange ideas about past, present and future trends in Web personalization and discuss the most innovative CI approaches to Web personalization. Topics We invite prospective authors to submit papers that propose the use of CI techniques to advance the technology in the field of Web personalization. Original contributions are solicited in the following topics (but are not limited to): User behaviour modelling The use of domain knowledge in the user modelling Individual and groups user models Automated techniques for user profile generation and updating Web mining for personalization Data models for Web usage, content and structure data Integration of content, structure and usage data for preference discovery Collaborative and content based filtering Clustering in personalization systems Hybrid personalization systems Adaptive user interfaces and personalization techniques Personalized search Explanation and justification in personalization systems Modelling decision making in personalization systems Web information gathering Measuring personalization effectiveness Instructions for Authors Please note that the required paper length is eight pages in Springer format. Papers longer than this will be subject to a penalty charge. Papers very much longer or shorter than the required length may be rejected. Authors must submit their papers to the Invited Sessions PROSE portal available on the conference web site (note that there is a different portal for General Track papers, and authors must ensure that they submit to the correct portal). When authors submit a paper, they will be presented with a drop-down box which has the Invited Sessions listed. They will be required to select the appropriate Invited Session. The paper will then be automatically allocated to the appropriate Invited Session Chair, who will receive an email notifying them that the paper is awaiting their attention. Publication The Conference Proceedings will be published and distributed by a major publisher, Springer-Verlag. Extended versions of selected papers will be considered for publication in the International Journal of Knowledge-Based Intelligent Engineering Systems, www.bton.ac.uk/kes/journal/ Important Dates Submission of papers : February 15, 2008 Notification of acceptance : April 1, 2008 Camera-ready papers to be received by : May 1, 2008 Contact Details Name of Chairs: Giovanna Castellano, Maria Alessandra Torsello Address: Department of Computer Science, University of Bari, via E. Orabona, 4, 70126 Bari (Italy) Phone: +39 080 544 2456 Email: castellano@di.uniba.it – torsello@di.uniba.it No virus found in this outgoing message. Checked by AVG Free Edition. Version: 7.5.503 / Virus Database: 269.17.5/1190 - Release Date: 19/12/2007 19.37 From javeda from cs.rpi.edu Fri Dec 28 18:16:02 2007 From: javeda from cs.rpi.edu (javeda@cs.rpi.edu) Date: Sat Dec 29 12:48:11 2007 Subject: [Bio-matrix] workshop on Data Mining for Biomedical Informatics at SDM08 In-Reply-To: <2204.72.230.6.173.1197307563.squirrel@webmail.cs.rpi.edu> References: <2204.72.230.6.173.1197307563.squirrel@webmail.cs.rpi.edu> Message-ID: <2391.72.230.6.173.1198883762.squirrel@webmail.cs.rpi.edu> Dear Colleague: We would like to bring to your attention a workshop on Data Mining for Biomedical Informatics at the SIAM International Conference on Data Mining (SDM08), in Atlanta, Georgia, April 24 - 26, 2008. This is the second workshop in the series of Data Mining for Biomedical Informatics workshops held in conjunction with SDM. The URL for the workshop is: http://www.cs.rpi.edu/DMBIO08/ This workshop intends to provide a venue to facilitate the exchange of ideas between scientists in computer science, biology, mathematics and clinical research by bringing together researchers to discuss and present sources of data, research topics that may be addressed by such data, and data mining algorithms that may be used to analyze them. We encourage the submission of papers that use techniques from disciplines such as statistics, linear algebra, functional analysis, and signal processing, applied in some biomedical domain, as well as papers exposing rich sources of publicly available biomedical data that are of interest to the data mining community. Important Dates =============== Papers due: January 11, 2008 Notification of acceptance: January 20, 2008 Final version: February 4, 2008 Workshop: April 26, 2008 We are looking forward to receiving your submission. With best regards, Asif Javed, Publicity Chair javeda@cs.rpi.edu On behalf of the organizers Petros Drineas drinep@cs.rpi.edu Michael W. Mahoney mahoney@yahoo-inc.com Rui Kuang kuang@cs.umn.edu