By Ngoc Thanh Nguyen (auth.), Filip Zavoral, Jason J. Jung, Costin Badica (eds.)
This publication represents the mixed peer-reviewed lawsuits
of the 7th overseas Symposium on clever allotted Computing - IDC-2013, of the second one Workshop on brokers for Clouds - A4C-2013, of the 5th overseas Workshop on Multi-Agent platforms know-how and Semantics - MASTS-2013,
and of the overseas Workshop on clever Robots - iR-2013.
All the occasions have been held in Prague, Czech Republic in the course of September 4-6, 2013.
The forty-one contributions released during this ebook tackle many topics
related to idea and functions of clever distributed
computing and multi-agent platforms, including:
agent-based info processing, ambient intelligence, bio-informatics, collaborative structures, cryptography and safety, allotted algorithms, grid and cloud computing, details extraction, clever robotics, wisdom administration, associated facts, cellular brokers, ontologies, pervasive computing, self-organizing platforms, peer-to-peer computing, social networks and belief, and swarm intelligence.
Read or Download Intelligent Distributed Computing VII: Proceedings of the 7th International Symposium on Intelligent Distributed Computing - IDC 2013, Prague, Czech Republic, September 2013 PDF
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Additional resources for Intelligent Distributed Computing VII: Proceedings of the 7th International Symposium on Intelligent Distributed Computing - IDC 2013, Prague, Czech Republic, September 2013
If j = −1, no prefix is found and return -1. Assume otherwise. (3) If PATTERN[0.. (m + 1)], the answer is j. Otherwise put j = skip1( j) and go back to the process 3. Let us discuss the time complexity issues at each incremental pattern. It is possible to obtain skip1,skip2 incrementally on O(1), It takes O(1) for the process 1 in the above algorithm and O(m) for the process 2. In the process 4, it takes O( j) to examine PATTERN[0.. j] to each repetition, and O(MPL2 (m)) in total. Practically MPL is small very often and few problem arises.
Vectors of the PageRank score values were created for each document. The rank correlation and the term distance were used as similarity measures to assign a document to a classification class. An alternative approach to document classification uses hypernyms and other directly related concepts [2, 12]. Further improvements included feature expansion with additional semantic information based on ontology . This approach  uses external knowledge for mapping terms to regions of concepts. For an exploration of related concepts, the traversal graph algorithm is used.
We have also selected 4 articles from them and put them together with duplicates into one as query patterns of size 160,092 bytes, Especially we take an article of 3090 bytes and put 5 times into the beginning of the query pattern for the purpose of longer MPLs. As shown in a table 4, the prefix of 12366 bytes is equal to the part of +3093, which means some overlap. In fact, the first 3092 bytes are duplicated 4 times after the article in the query. The situation is marked with ”A” in the table.
Intelligent Distributed Computing VII: Proceedings of the 7th International Symposium on Intelligent Distributed Computing - IDC 2013, Prague, Czech Republic, September 2013 by Ngoc Thanh Nguyen (auth.), Filip Zavoral, Jason J. Jung, Costin Badica (eds.)