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Editor for this issue: Martin Jacobsen <martylinguistlist.org>
irin.univ-nantes.fr>PKDD'98 -- 2nd European Symposium on Principles of Data Mining and Knowledge Discovery Nantes, France September 23-26, 1998 http://www.sciences.univ-nantes.fr/pkdd98 Data Mining and Knowledge Discovery in Databases (KDD) have emerged from acombination of many research areas: databases, statistics, machinelearning, automated scientific discovery, inductive logic programming, artificial intelligence, visualization, decision science, and high performance computing. While each of these areas can contribute in specific ways, KDD focuses on the value that is added by creative combination of the contributing areas. The goal of PKDD'98 is to provide a European-based forum for interaction among all theoreticians and practitioners interested in data mining. Interdisciplinary collaboration is one desired outcome, but the main long-term focus is on theoretical principles for the emerging discipline of KDD, especially on KDD-specific principles that go beyond each contributing area. Both theoretical and applied submissions are sought. Reviewers will assess the contribution towards the principles of KDD, in addition to the usual requirements of relevance, novelty, clarity and significance. Applied papers should go beyond an individual application, presenting an explicit method that promises a degree of generality within one or more stages of the discovery process, such as preprocessing, mining, visualization, use of prior knowledge, knowledge refinement, and evaluation. Theoretical papers should demonstrate how the proposed theoretical contribution advances the discovery process. The following non-exclusive list exemplifies topics of interest: Data and knowledge representation for data mining * Beyond relational databases: new forms of data organization * Data reduction * Prior domain knowledge and use of discovered knowledge * Combining query systems with discovery capabilities Statistics and probability in data mining * Discovery of probabilistic networks * Modelling knowledge uncertainty * Discovery of exceptions and deviations * Statistical significance in large-scale search * The problems of over-fit Logic-based perspective on data mining * Inference of knowledge from data * Exploring different subspaces of first order logic * Rough sets in data mining * Boolean approaches to data mining * Inductive Logic Programming for mining real databases * Pattern-recognition for data mining * The use of tolerance (similarity) relations in data mining * KDD-motivated discretization of data * Discovery of approximate schemes of reasoning from data Man-Machine interaction in data mining * Visualization of data * Visualization of knowledge * Interface design * Interactive data mining: human and computer contributions Artificial Intelligence contributions to KDD * Representing knowledge and hypotheses spaces * Search for knowledge and its complexities * Combining many methods in one system * Data mining in distributed/multiagent systems High performance computing for data mining * Hardware support for KDD * Parallel discovery algorithms and complexity * Distributed data mining * Scalability in high dimensional datasets * From concept learning to concept discovery * Expanding the autonomy of machine learners * Embedding learning methods in KDD systems * Conceptual clustering in knowledge discovery * Applications of scientific discovery systems to databases * Scientific hypothesis evaluation that transfers to KDD * Hypothesis spaces of scientific discovery applied in KDD * Differences between the data handled in both fields * KDD applications on scientific databases * Decomposition of large data tables Quality assessment of data mining results * Multi-criteria knowledge evaluation * Benchmarks and metrics for system evaluation * Statistical tests in KDD applications * Usefulness and risk assessment in decision-making Applications of data mining and knowledge discovery * Medicine: diagnosis and prognosis * Control theory: predictive and adaptive control, model identification * Engineering: diagnosis of mechanisms and processes * Public administration * Marketing and finance * Data mining on the web in text and heterogeneous data * Natural and social science * Prediction and intervention use of knowledge * Fraud detection Interaction between symbolic KDD methods and neural nets * Interpretation of knowledge accumulated in a trained NN * Hybrid NN/Symbolic KDD systems * NN architectures for higher transparency and interpretability Submitted papers should be in English and not exceed 10 single-spaced pages of 12pt font (excluding title page but including tables, figures and bibliography). Submissions exceeding this limit will not be reviewed. A separate title page should begin with title, authors, affiliations, surface and e-mail addresses, and an abstract of about 200 words. Submitted papers should preferably be formatted according to the LNAI guidelines. LaTeX and Word style files are available at http://www.sciences.univ-nantes.fr/pkdd98/styles. The following items must be submitted by May 15th, 1998: an electronic version of the paper (uuencoded and compressed PostScript), and an electronic version of the titlepage in plain ASCII format. Four hard copies of the paper by regular mail are also accepted if electronic submission is not possible. All items should be sent to the following addresses: * Regular mail: Mohamed Quafafou - PKDD'98 Conference (see full address below) * Electronic mail : pkdd98Mail to author|Respond to list|Read more issues|LINGUIST home page|Top of issue
indiana.edu>CALL FOR PAPERS Indiana University invites you to submit abstracts to a workshop (funded by the U.S. Department of Education) on COMPARATIVE SLAVIC MORPHOSYNTAX The workshop will be held at Canyon Inn, in McCormick's Creek State Park, Spencer, Indiana (near Bloomington) on Friday-Sunday 5-7 June 1998. Papers are solicited in response to five invited "position papers": Leonard Babby: "Voice and Diathesis in Slavic" Zeljko Boskovic: "Wh-phrases and wh-movement in Slavic" Greville Corbett: "Agreement in Slavic" Steven Franks: "Clitics in Slavic" Gilbert Rappaport: "Noun Phrases in Slavic" These position papers are intended to summarize the variation in data across the Slavic languages, define the "state of the art" in existing analysis for each area, communicate innovations and on-going research, and identify an agenda for future investigation. As such, they are meant to serve as springboards for discussion, rebuttal, response, and debate. This call for papers solicits responses in two categories: 10 minute presentations (+ 5 minute discussion) or 20 minutes (+ 10 minute discussion). You may respond to one or several position papers, but must submit an advance abstract for each response; there is no set limit on the number of responses which may be accepted from any one individual. The position papers can be downloaded via the internet in platform-independent pdf, ps, and html formats (the html versions will be posted last) from: <http://www.indiana.edu/~slavconf/linguistics/index.html>; If you cannot download or use electronic versions of the position papers, you may request a printed copy of any of the papers from the address below. However, However, in view of our limited budget and staff resources, we urge you to utilize the electronic versions if possible. Proposals for reponses may be submitted to the address below. Abstracts should be no more than one page, including examples and references. Include your name and affiliation directly on the abstract, and please attach a card with your name, address, e-mail, phone, title, and position paper to which you are responding. Please send 4 copies of each abstract, and indicate the length category for your response. We will also accept submissions via email to <slavconfMail to author|Respond to list|Read more issues|LINGUIST home page|Top of issue