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Titlebook: Emerging Intelligent Technologies in Industry; Dominik Ry?ko,Henryk Rybiński,Marzena Kryszkiewicz Book 2011 Springer-Verlag GmbH Berlin He

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11#
發(fā)表于 2025-3-23 16:42:04 | 只看該作者
Querying and Splitting Techniques for SBA: A Model Checking Based Approachreturn execution traces instead of parts of the process. We propose in this work an approach for fragmentation based on model checking and slicing techniques. Fragmentation is based on business rules expressed in LTL. In our work the fragmentation does not consist in splitting a web service composit
12#
發(fā)表于 2025-3-23 19:24:16 | 只看該作者
13#
發(fā)表于 2025-3-24 00:14:39 | 只看該作者
14#
發(fā)表于 2025-3-24 04:28:54 | 只看該作者
Automatic Supply of a Medical Knowledge Base Using Linguistic Methodsng the symptoms. Semantic descriptions are automatically extracted from text using natural language processing methods and lexical resources. The methods transform text describing symptoms into a set of rules constituting their semantic descriptions. The descriptions consist of a number of concepts
15#
發(fā)表于 2025-3-24 09:03:56 | 只看該作者
16#
發(fā)表于 2025-3-24 14:09:29 | 只看該作者
Mining Hierarchical Communities from Complex Networks Using Distance-Based Similarityter-group links are quite sparse. Although there exists many works with regard to community mining, few of them studied the connections between the local distance among nodes and the global community structures of networks. In this work, we have studied their connection and established a correspondi
17#
發(fā)表于 2025-3-24 18:43:32 | 只看該作者
Architecture of Distributed System for Challenging Data Mining Tasksning and Integration Research for Europe (ADMIRE) project. The idea of the project is to provide a powerful and flexible infrastructure aiding experts to extract knowledge from the data by providing easy access to data mining and integration tools collected in one distributed system. The project is
18#
發(fā)表于 2025-3-24 19:28:26 | 只看該作者
19#
發(fā)表于 2025-3-25 02:45:00 | 只看該作者
20#
發(fā)表于 2025-3-25 04:54:39 | 只看該作者
Die politische Entwicklung 1989 im überblickdes and immunoglobuline protein. The protocol involved development of several independent feature sets for the description of peptides, including text-based representations with reduced alphabets, as well as features based on the chemical properties of peptides. Then several machine learning methods
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