| The LNAI series reports state-of-the-art results in artificial intelligence re-search, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community, with numerous individuals, as well as with prestigious organizations and societies,LNAI has grown into the most comprehensive artificial intelligence research forum available. The scope of LNAI spans the whole range of artificial intelligence and intelli-gent information processing including interdisciplinary topics in a variety of application fields. The type of material published traditionally includes. -proceedings (published in time for the respective conference) -post-proceedings (consisting of thoroughly revised final full papers) -research monographs (which may be based on PhD work) |
| Invited Talks Abduction and the Dualization Problem Signal Extraction and Knowledge Discovery Based on Statistical Modeling Association Computation for Information Access , Efficient Data Representations That Preserve Information Can Learning in the Limit Be Done Efficiently? Long Papers Discovering Frequent Substructures in Large Unordered Trees Discovering Rich Navigation Patterns on a Web Site Mining Frequent Itemsets with Category-Based Constraints Modelling Soil Radon Concentration for Earthquake Prediction Dialectical Evidence Assembly for Discovery Performance Analysis of a Greedy Algorithm for Inferring Boolean Functions Performance Evaluation of Decision Tree Graph-Based Induction Discovering Ecosystem Models from Time-Series Data An Optimal Strategy for Extracting Probabilistic Rules by Combining Rough Sets and Genetic Algorithm Extraction of Coverings as Monotone DNF Formulas What Kinds and Amounts of Causal Knowledge Can Be Acquired from Text by Using Connective Markers as Clues? Clustering Orders Business Application for Sales Transaction Data by Using Genome Analysis Technology Improving Efficiency of Frequent Query Discovery by Eliminating Non-relevant Candidates Chaining Patterns An Algorithm for Discovery of New Families of Optimal Regular Networks Enumerating Maximal Frequent Sets Using Irredundant Dualization Discovering Exceptional Information from Customer Inquiry by Association Rule Miner Short Papers Automatic Classification for the Identification of Relationships in a Meta-data Repository Effects of Unreliable Group Profiling by Means of Data Mining …… Author Index |
内容加载中，请稍后...
商品评论（0条）