المؤلفون: P.C.B. Lee

المصدر: HICSS

مصطلحات موضوعية: Information management, Strategic planning, Career management, ComputingMilieux_THECOMPUTINGPROFESSION, business.industry, Cognitive Information Processing, Information technology, Plan (drawing), Public relations, Technology management, Management, ComputingMilieux_GENERAL, ComputingMethodologies_GENERAL, business, Career portfolio, Psychology

الوصف: This paper examines the career goals and career management strategy of information technology (IT) professionals in Singapore. The results of this research found that IT professionals seek to advance their careers in three ways. The first two are standard career paths, which involve specializing in either a technical or a managerial career. The third career path, termed technopreneurship, involves IT professionals setting up their own IT business. The results of this research also showed that: (1) career planning has a positive impact on career strategy, (2) career strategy has a positive impact on professional enhancement, and (3) professional enhancement has a positive impact on career satisfaction. One important implication of these results is that it is importance for IT professionals to plan and strategize their career.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::4adfae816b8e047e676f215a8d4185b1Test
https://doi.org/10.1109/hicss.2001.927182Test

المؤلفون: Manolis Koubarakis

المصدر: TIME

مصطلحات موضوعية: Spatiotemporal database, Computer science, media_common.quotation_subject, Context (language use), Application software, computer.software_genre, Data science, Constraint (information theory), Presentation, Information engineering, ComputingMethodologies_GENERAL, computer, media_common, Database model

الوصف: In this talk we review recent research in the area of spatiotemporal databases. Spatiotemporal database management offers a wide range of interesting research problems and can have a significant effect on applications. Our presentation will highlight results achieved in the context of project CHOROCHRONOS. The constraint database model will be our main technical tool for the representation of spatiotemporal information.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::40bc6ebd7a2e0b31feb077cee52bbed9Test
https://doi.org/10.1109/time.2001.930703Test

المؤلفون: Hongji Yang, Jianjiang Lu, Yingzhou Zhang, Baowen Xu, Lei Xu, Huowang Chen

المصدر: CW

مصطلحات موضوعية: Fuzzy classification, Fuzzy clustering, Theoretical computer science, Neuro-fuzzy, Mathematics::General Mathematics, Computer science, computer.software_genre, Defuzzification, ComputingMethodologies_PATTERNRECOGNITION, Fuzzy set operations, Fuzzy number, Fuzzy associative matrix, ComputingMethodologies_GENERAL, Data mining, computer, Computer Science::Databases, FSA-Red Algorithm

الوصف: The principle and steps of the algorithm for mining fuzzy association rules is studied, and the parallel algorithm for mining fuzzy association rules is presented. In this parallel mining algorithm, quantitative attributes are partitioned into several fuzzy sets by the parallel fuzzy c-means algorithm, and fuzzy sets are applied to soften the partition boundary of the attributes. Then, the parallel algorithm for mining Boolean association rules is improved to discover frequent fuzzy attributes. Last, the fuzzy association rules with at least fuzzy confidence are generated on all processors. The parallel mining algorithm is implemented on the distributed linked PC/workstation. The experiment results show that the parallel mining algorithm has fine scaleup, sizeup and speedup.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::707ca2a8e7f0738d963b2eb6078742aaTest
https://doi.org/10.1109/cyber.2003.1253467Test

المؤلفون: H.-N. Teodorescu, L.I. Fira

المصدر: ICDM

مصطلحات موضوعية: Adaptive neuro fuzzy inference system, Artificial neural network, Neuro-fuzzy, Computer science, business.industry, Machine learning, computer.software_genre, Fuzzy logic, Set (abstract data type), ComputingMethodologies_PATTERNRECOGNITION, Hierarchical control system, ComputingMethodologies_GENERAL, Data mining, Artificial intelligence, Types of artificial neural networks, Intelligent control, business, computer

الوصف: We introduce a genetic sequence identifier based on a hierarchical system using fuzzy and classic (crisp) neural networks. The system is based on a set of predictors and on a decision network. The prediction of the structure of the genes is addressed using a new method and tools, involving the sequence of distances between bases and neuro-fuzzy predictors. The method and system have been successful in predicting genomic sequences and text structures.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::5393344d262c6def369bcb920c8c8759Test
https://doi.org/10.1109/icdm.2003.1250999Test

المؤلفون: X. Deng, Hesham Ali

المصدر: CSB

مصطلحات موضوعية: Regulation of gene expression, Biological data, Scale (ratio), Computational complexity theory, Artificial neural network, business.industry, Computer science, Search engine indexing, Gene regulatory network, computer.software_genre, Machine learning, ComputingMethodologies_GENERAL, Data mining, Artificial intelligence, business, Time complexity, computer

الوصف: With the rapid accumulation of gene expression data in publicly accessible databases, computational study of gene regulation has become an obtainable goal Intrinsic to this task will be data mining tools for inferring knowledge from biological data. In this project, we have developed a new data mining technique in which we adapt the connectivity of a recurrent neural network model by indexing regulatory elements and including nonlinear interaction terms. The new technique reduces the number of parameters by O(n), therefore increasing the chance of recovering the underlying regulatory network. In order to fit the model from data, we have developed a genetic fitting algorithm with O(n) time complexity and that adapts the connectivity during the fitting process until a satisfactory fit is obtained. We have implemented this fitting algorithm and applied it to two data sets: rat central nervous system development (CNS) data with 112 genes, and yeast whole genome data with 2467 genes. With multiple runs of the fitting algorithm, we were able to efficiently generate a statistical pattern of the model parameters from the data. Because of its adaptive features, this method will be especially useful for reconstructing coarse-grained gene regulatory network from large scale or genome scale gene expression data sets.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::040e996beefca82448e3cde77dbccf82Test
https://doi.org/10.1109/csb.2003.1227350Test

المؤلفون: Hua Tianfield

المصدر: IAT
Scopus-Elsevier

مصطلحات موضوعية: Collaborative software, Knowledge management, business.industry, Computer science, End-user computing, Multi-agent system, ComputingMethodologies_GENERAL, Architecture, business, Software engineering, Computing systems, Autonomic computing

الوصف: Autonomic computing is an entirely new philosophy for the development of computing systems. This paper first presents the basic concept and principle of autonomic computing. Then, an architecture is proposed for autonomic computing systems. Finally, design issues of a multi-agent autonomic architecture and the collaborative environment for e-medicine are presented.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::571b9b7434d9f5940fff277e183174e0Test
https://doi.org/10.1109/iat.2003.1241154Test

المؤلفون: Jiang Jiuchun, Xia Yuan, Zhang Weige, Zhou Xide

المصدر: The 2nd International Workshop on Autonomous Decentralized System, 2002..

مصطلحات موضوعية: Adaptive neuro fuzzy inference system, Quantitative Biology::Neurons and Cognition, Artificial neural network, Neuro-fuzzy, Computer science, Computer Science::Neural and Evolutionary Computation, PID controller, ComputerApplications_COMPUTERSINOTHERSYSTEMS, Control engineering, Fuzzy control system, ComputingMethodologies_PATTERNRECOGNITION, Control theory, Process control, ComputingMethodologies_GENERAL, Intelligent control, Computer Science::Databases

الوصف: By integrating fuzzy neural network and PI controller, a fuzzy neural hybrid controller based on PI controller is proposed. The parameters of new controller can be adjusted on line based on the ability of fuzzy neural network. The effectiveness of the proposed controller can be demonstrated by simulation in nonlinear and time variable plant.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::485f8fa45c29b372b4bf1b441559b79fTest
https://doi.org/10.1109/iwads.2002.1194664Test

المؤلفون: Mira Kajko-Mattsson

المصدر: ICSM

مصطلحات موضوعية: Engineering, Corrective maintenance, business.industry, Software maintenance, Application lifecycle management, Reliability engineering, Problem management, Capability Maturity Model, Risk analysis (engineering), Software sizing, Personal software process, ComputingMethodologies_GENERAL, business, Software project management

الوصف: We present our PhD thesis, in which we suggest a process model for handling software problems within corrective maintenance. Our model is called CM/sup 3/: Problem Management.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::e851f1fae256efd0360f4c2999d727abTest
https://doi.org/10.1109/icsm.2002.1167809Test

المؤلفون: Gareth Howells, Michael Fairhurst, Anne M. P. Canuto

المصدر: SBRN

مصطلحات موضوعية: Adaptive neuro fuzzy inference system, Fuzzy classification, Quantitative Biology::Neurons and Cognition, Neuro-fuzzy, Time delay neural network, business.industry, Computer science, Computer Science::Neural and Evolutionary Computation, Pattern recognition, Fuzzy logic, ComputingMethodologies_PATTERNRECOGNITION, Fuzzy set operations, Fuzzy associative matrix, ComputingMethodologies_GENERAL, Artificial intelligence, Intelligent control, business

الوصف: This papers investigates the performance of some fuzzy combination schemes applied to a multi hybrid neural system which is composed of neural and fuzzy neural networks. An empirical evaluation in a handwritten numeral recognition task is used to investigate the performance of the presented fuzzy methods with some existing combination methods.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::240aeaa2b0c0a720e48ddffc76156296Test
https://doi.org/10.1109/sbrn.2002.1181462Test

المؤلفون: Chris Messom, Matthew Walker

المصدر: DELTA

مصطلحات موضوعية: business.industry, Computer science, Genetic programming, Control engineering, Mobile robot, Motion control, Mobile robot navigation, Robot control, Auto tuning, ComputingMethodologies_GENERAL, Artificial intelligence, Motion planning, Layer (object-oriented design), business

الوصف: This paper discusses the use of genetic programming (GP) and genetic algorithms (GA) to evolve solutions to a problem in robot control. GP is seen as an intuitive evolutionary method while GAs require an extra layer of human intervention. The infrastructures for the different evolutionary approaches are compared.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::aeef6d13cec4c85f541cf53863c4d1f6Test
https://doi.org/10.1109/delta.2002.994686Test