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Biological networks having complex connectivity have been widely studied recently. By characterizing their inherent and structural behaviors in a topological perspective, these studies have attempted to discover hidden knowledge in the systems. However, even though various algorithms with graph-theoretical modeling have provided fundamentals in the network analysis, the availability of practical approaches...
Topic discovery described here is used to determine the topic that a document or a segment discusses. It is very important for some applications of natural language processing (NLP), such as information retrieval/extraction, summarization and topic analysis etc. The paper extracts topic words based on Shannon information, in which latent Dirichlet allocation (LDA) is employed to represent word distribution...
Existing density-based data stream clustering algorithms use a two-phase scheme approach consisting of an online phase, in which raw data is processed to gather summary statistics, and an offline phase that generates the clusters by using the summary data. In this paper we propose a data stream clustering method based on a multi-agent system that uses a decentralized bottom-up self-organizing strategy...
This paper focuses on building a rule based model for a water supplying network using particle swarm optimization and fuzzy clustering. There are various fundamental problems of water supply distribution networks namely distance, quantity, demand, elevation etc. Depending on these factors we get the water at receiving ends in terms of quantity, pressure etc. An algorithm is proposed to obtain desirable...
In this paper, we present a novel method to mine, model, and evaluate a regulatory system executing cellular functions that can be represented as a biomolecular network. Our method consists of two steps. First, a novel scale-free network clustering approach is applied to such a biomolecular network to obtain various subnetworks. Second, computational models are generated for the subnetworks and simulated...
Credit sale acts a very important role in the operation of one company. Nowadays, in order to reduce the credit risks, ensure the benefits of companies, and communicate effectively with the customers, analysis of customerspsila credit has become a very popular research question. In this paper, the author develops a credit evaluation model for medicament enterprise based on data mining methods clustering...
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