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International Conference on Sustainable Energy and Environmental Engineering (ICSEEE 2012)

作者： Sun Jlan Liang Haiping Yang Yulong Beijing Elect Power Res Inst Beijing 100075 Peoples R China North China Elect Power Univ Sch Elect & Elect Engn Baoding 071003 Peoples R China

ISBN: (纸本)9783037856345

The operating departments of power system use different information systems for work convenience. The differences in appliances, data sources, structures and maintenance personnel lead to the independence between data sources as well as heavy workload of data exchange and maintenance. The simulation of different problems needs various tools while the establishment of grid model requires hard work. This paper, on the basis of function requirement analysis, made project design of integrative simulation platform, and developed a data graphical integrated modeling platform featuring the functions of steady state, electromechanical transient and electromagnetic transient with the ability of multi-source data fusion by using the programming language C#. The platform can integrate data of PSDB, PSD-BPA and PMIS, automatically form PSASP and PSD-BPA power flow calculation data, electromechanical transient simulation data and generate ".psc" files for PSCAD\EMTDC electromagnetic transient simulation analysis according to the selected sectors and components on the graphical interfaces.

关键词： Power system multiple data source simulation platform heterogeneous data

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Effective Mashup Service Clustering Method by Exploiting LDA Topic Model from multiple data sources 9th

Effective Mashup Service Clustering Method by Exploiting LDA...

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9th Asia-Pacific Services Computing Conference (APSCC)

作者： Cao, Buqing Liu, Xiaoqing (Frank) Liu, Jianxun Tang, Mingdong Hunan Univ Sci & Technol Sch Comp Sci & Engn Xiangtan Peoples R China Univ Arkansas Dept Comp Sci & Comp Engn Fayetteville AR 72701 USA Wuhan Univ State Key Lab Software Engn Wuhan 430072 Peoples R China

ISBN: (纸本)9783319269795;9783319269788

Mashup is emerging as a promising software development method for allowing software developers to compose existing Web APIs to create new or value-added composite Web services. However, the rapid growth in the number of available Mashup services makes it difficult for software developers to select a suitable Mashup service to satisfy their requirements. Even though clustering based Mashup discovery technique shows a promise of improving the quality of Mashup service discovery, Mashup service clustering with high accuracy for discovery of Mashup services is still a challenge problem. In this paper, we propose a novel Mashup service clustering method for Mashup service discovery with high accuracy by exploiting LDA topic model built from multiple data sources. It enables to infer topic probability distribution of Mashup services, which serves as a basis of computation of similarity of Mashup services. K-means and Agnes algorithm are used to perform Mashup service clustering in terms of their similarities. Compared with other service clustering approaches, experimental results show that our approach achieves significant improvement in terms of precision, recall and F-measure rate, which will improve Mashup service discovery.

关键词： Mashup service LDA topic model multiple data source Service clustering

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MS-kNN: protein function prediction by integrating multiple data sources

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BMC BIOINFORMATICS 2013年第Sup3期14卷 1-10页

作者： Lan, Liang Djuric, Nemanja Guo, Yuhong Vucetic, Slobodan Temple Univ Dept Comp & Informat Sci Philadelphia PA 19122 USA

Background: Protein function determination is a key challenge in the post-genomic era. Experimental determination of protein functions is accurate, but time-consuming and resource-intensive. A cost-effective alternative is to use the known information about sequence, structure, and functional properties of genes and proteins to predict functions using statistical methods. In this paper, we describe the Multi-source k-Nearest Neighbor (MS-kNN) algorithm for function prediction, which finds k-nearest neighbors of a query protein based on different types of similarity measures and predicts its function by weighted averaging of its neighbors' functions. Specifically, we used 3 data sources to calculate the similarity scores: sequence similarity, protein-protein interactions, and gene expressions. Results: We report the results in the context of 2011 Critical Assessment of Function Annotation (CAFA). Prior to CAFA submission deadline, we evaluated our algorithm on 1,302 human test proteins that were represented in all 3 data sources. Using only the sequence similarity information, MS-kNN had term-based Area Under the Curve (AUC) accuracy of Gene Ontology (GO) molecular function predictions of 0.728 when 7,412 human training proteins were used, and 0.819 when 35,622 training proteins from multiple eukaryotic and prokaryotic organisms were used. By aggregating predictions from all three sources, the AUC was further improved to 0.848. Similar result was observed on prediction of GO biological processes. Testing on 595 proteins that were annotated after the CAFA submission deadline showed that overall MS-kNN accuracy was higher than that of baseline algorithms Gotcha and BLAST, which were based solely on sequence similarity information. Since only 10 of the 595 proteins were represented by all 3 data sources, and 66 by two data sources, the difference between 3-source and one-\source MS-kNN was rather small. Conclusions: Based on our results, we have several useful insights:

关键词： Gene Ontology Function Prediction Prediction Score Query Protein multiple data source

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An intelligent web search framework for performing efficient retrieval of data

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COMPUTERS & ELECTRICAL ENGINEERING 2016年 56卷 289-299页

作者： Ahamed, B. Bazeer Ramkumar, T. Sathyabama Univ Fac Comp Sci & Engn Chennai Tamil Nadu India VIT Univ Sch Informat Technol & Engn Vellore Tamil Nadu India

There are numerous search engines available in today's world to search and retrieve the required information. However retrieval of meaningful and appropriate formation as per the user requirement is always a challenging task. The foremost intention of any search engine is to provide the information with in a quick span of time. Since the nature of data available in World-Wide-Web shows heterogeneity in common and the sources of data are also distinct with each other, issues pertaining to schema structure and data representational are also there. In such circumstances, to eliminate inconsistencies and for enabling seamless integration of multiple data sources while retrieving web data, an efficient web search mechanism that fulfils the customer requirement is always needed. To enable the integration of multiple data sources while performing efficient retrieval of web data, an intelligent web search framework has been proposed in this paper. (C) 2016 Elsevier Ltd. All rights reserved.

关键词： Web content Search engines Web data multiple data source Information retrieval

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iVici: Interrelational Visualization and Correlation Interface

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GENOME BIOLOGY 2005年第13期6卷 R115-R115页

作者： Tarassov, Kirill Michnick, Stephen W. Univ Montreal Dept Biochim Montreal PQ H3C 3J7 Canada Univ Montreal Ctr Robert Cedergren Montreal PQ H3C 3J7 Canada

We have developed an application, iVici, to analyze cellular networks represented as addressable symmetric or asymmetric two-dimensional matrices. iVici was designed to permit simultaneous visualization and correlation of multiple datasets, representing any relationship between a set of genes, mRNAs, or proteins. Visual overlay of datasets and addressable access to gene annotations permits comparison of networks of different types ( for example protein-protein interactions and genetic networks) or investigation of the dynamic reorganization of a particular network.

关键词： Protein Interaction Network Protein Pair Genetic Network multiple data source mRNA Expression Profile

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Concordance between decision analysis and matching systematic review of randomized controlled trials in assessment of treatment comparisons: a systematic review

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BMC MEDICAL INFORMATICS AND DECISION MAKING 2014年第1期14卷 1-7页

作者： Mhaskar, Rahul S. Wao, Hesborn Mahony, Helen Kumar, Ambuj Djulbegovic, Benjamin Univ S Florida Morsani Coll Med Dept Internal Med Div Evidence Based Med & Outcomes Res Tampa FL 33606 USA

Background: Systematic review (SR) of randomized controlled trials (RCT) is the gold standard for informing treatment choice. Decision analyses (DA) also play an important role in informing health care decisions. It is unknown how often the results of DA and matching SR of RCTs are in concordance. We assessed whether the results of DA are in concordance with SR of RCTs matched on patient population, intervention, control, and outcomes. Methods: We searched PubMed up to 2008 for DAs comparing at least two interventions followed by matching SRs of RCTs. data were extracted on patient population, intervention, control, and outcomes from DAs and matching SRs of RCTs. data extraction from DAs was done by one reviewer and from SR of RCTs by two independent reviewers. Results: We identified 28 DAs representing 37 comparisons for which we found matching SR of RCTs. Results of the DAs and SRs of RCTs were in concordance in 73% (27/37) of cases. The sensitivity analyses conducted in either DA or SR of RCTs did not impact the concordance. Use of single (4/37) versus multiple data source (33/37) in design of DA model was statistically significantly associated with concordance between DA and SR of RCTs. Conclusions: Our findings illustrate the high concordance of current DA models compared with SR of RCTs. It is shown previously that there is 50% concordance between DA and matching single RCT. Our study showing the concordance of 73% between DA and matching SR of RCTs underlines the importance of totality of evidence (i.e. SR of RCTs) in the design of DA models and in general medical decision-making.

关键词： Systematic Review Decision Analysis Comparative Effectiveness Research multiple data source Optimum Match

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The integration of heterogeneous data sources based on OGSA-DAI

The integration of heterogeneous data sources based on OGSA-...

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International Conference on Internet Technology and Applications

作者： Zheng, Zhi-Yun Wang, Li-Fu Li, Lun Lu, Li-Ping School of Information Engineering Zhengzhou University Zhengzhou Henan Province 450001 China Department of Information and Engineering Henan College of Finance and Taxation Zhengzhou Henan Province 450002 China

ISBN: (纸本)9781424472550

Heterogeneity of the data leads to low utilization rate of resources, producing a large amount of information islands. This paper gives a new method to convert global query into local query which can be executed by OGSA-DQP based on OGSA-DAI and OGSA-DQP, achieving centralized and uniformed access to multiple data sources. This method has been applied to a real project, and has achieved good results. © 2011 IEEE.

关键词： Cities and towns Distributed databases OGSA-DAI OGSA-DQP Servers Syntactics Web services grid computing heterogeneous data source information island local query middleware multiple data source resource utilization rate software architecture utilization rate

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Predicting receptor-ligand pairs through kernel learning

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BMC BIOINFORMATICS 2011年第1期12卷 1-8页

作者： Iacucci, Ernesto Ojeda, Fabian De Moor, Bart Moreau, Yves Katholieke Univ Leuven Dept Elect Engn SCD ESAT B-3001 Louvain Belgium

Background: Regulation of cellular events is, often, initiated via extracellular signaling. Extracellular signaling occurs when a circulating ligand interacts with one or more membrane-bound receptors. Identification of receptor-ligand pairs is thus an important and specific form of PPI prediction. Results: Given a set of disparate data sources (expression data, domain content, and phylogenetic profile) we seek to predict new receptor-ligand pairs. We create a combined kernel classifier and assess its performance with respect to the database of Ligand-Receptor Partners (DLRP) 'golden standard' as well as the method proposed by Gertz et al. Among our findings, we discover that our predictions for the tgf beta family accurately reconstruct over 76% of the supported edges (0.76 recall and 0.67 precision) of the receptor-ligand bipartite graph defined by the DLRP "golden standard". In addition, for the tgf beta family, the combined kernel classifier is able to relatively improve upon the Gertz et al. work by a factor of approximately 1.5 when considering that our method has an F-measure of 0.71 while that of Gertz et al. has a value of 0.48. Conclusions: The prediction of receptor-ligand pairings is a difficult and complex task. We have demonstrated that using kernel learning on multiple data sources provides a stronger alternative to the existing method in solving this task.

关键词： Domain Content multiple data source Phylogenetic Profile Kernel Learning Chemokine Family

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An integrated approach to the prediction of domain-domain interactions

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BMC BIOINFORMATICS 2006年第1期7卷 269-269页

作者： Lee, Hyunju Deng, Minghua Sun, Fengzhu Chen, Ting Univ So Calif Mol & Computat Biol Program Dept Biol Sci Los Angeles CA 90089 USA Univ So Calif Dept Comp Sci Los Angeles CA 90089 USA Peking Univ Sch Math Sci Beijing 100871 Peoples R China Peking Univ Ctr Theoret Biol Beijing 100871 Peoples R China

Background: The development of high-throughput technologies has produced several large scale protein interaction data sets for multiple species, and significant efforts have been made to analyze the data sets in order to understand protein activities. Considering that the basic units of protein interactions are domain interactions, it is crucial to understand protein interactions at the level of the domains. The availability of many diverse biological data sets provides an opportunity to discover the underlying domain interactions within protein interactions through an integration of these biological data sets. Results: We combine protein interaction data sets from multiple species, molecular sequences, and gene ontology to construct a set of high-confidence domain-domain interactions. First, we propose a new measure, the expected number of interactions for each pair of domains, to score domain interactions based on protein interaction data in one species and show that it has similar performance as the E-value defined by Riley et al. [1]. Our new measure is applied to the protein interaction data sets from yeast, worm, fruitfly and humans. Second, information on pairs of domains that coexist in known proteins and on pairs of domains with the same gene ontology function annotations are incorporated to construct a high-confidence set of domain-domain interactions using a Bayesian approach. Finally, we evaluate the set of domain-domain interactions by comparing predicted domain interactions with those defined in iPfam database [ 2,3] that were derived based on protein structures. The accuracy of predicted domain interactions are also confirmed by comparing with experimentally obtained domain interactions from H. pylori [ 4]. As a result, a total of 2,391 high-confidence domain interactions are obtained and these domain interactions are used to unravel detailed protein and domain interactions in several protein complexes. Conclusion: Our study shows that integration of

关键词： Domain Interaction multiple data source Domain Pair Domain Fusion Protein Interaction data

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Automating deployment of several GBrowse instances

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BMC BIOINFORMATICS 2014年第10-Sup期15卷 1-1页

作者： Moore, Neil Jaromczyk, Jerzy W. Schardl, Christopher L. Hill, Joedocei Wright, Devin Univ Kentucky Dept Comp Sci Lexington KY 40506 USA Univ Kentucky Dept Plant Pathol Lexington KY 40546 USA

关键词： Genome Browser Fungal Endophyte database Schema Version Control multiple data source

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