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Titlebook: Recent Progress in Data Engineering and Internet Technology; Volume 1 Ford Lumban Gaol Conference proceedings 2013 Springer-Verlag GmbH Ber

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Using Version Control System to Construct Ownership Architecture Documentations,urce files is to examine the comments manually. If such documentation can be produced automatically, it will be more immediate to indicate the status of the project. This research focus on the logs in the version control system. The data within version control logs is in a regular form and informati
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DF-ReaL2Boost: A Hybrid Decision Forest with Real L2Boosted Decision Stumps,. In this boosting, observation weights for subsequent iterations are updated according to the binomial log-likelihood (L2) loss function. This boosted decision stump trained on the extra samples different than the base tree classifiers (which are defined as out-of-bag samples). This extra sample al
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,Towards Smart Advisor’s Framework Based on Multi Agent Systems and Data Mining Methods,olution or suggest an option. On the other hand many applications need to know customer’s behavior and suggest best option to them. These applications are distributed and can be implemented by multi agent system to use advantages of autonomous intelligent agents. In this paper we present an automate
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Automatic LSA-Based Retrieval of Synonyms (for Search Space Extension), identification of synonyms in large sets of texts for the needs of question-answering (QA) systems. The method benefits from and is founded on Latent Semantic Analysis (LSA) technique. LSA serves as a hypothesis generator which produces hypotheses about the words that might be synonyms. Subsequentl
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Time Series Subsequence Matching Based on Middle Points and Clipping,upposed that the time series to be compared have the same length. In the subsequence matching, the result of this problem is a consecutive subsequence within the longer time series that best matches the query sequence. Many solving methods have been proposed for time series similarity search problem
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Effects of Spatial Scale in Cellular Automata Model for Land Use Change,ic cellular automata are often made arbitrarily. This article investigates the effect of changing cell size and neighborhood configuration on the result prediction accuracy of the CA-Markov model and the morphology of land use change simulation result. The research shows that spatial scale has great
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