Data Mining is a field of search and researches of data. Mining the data means fetching out a piece of data from a huge data block. The basic work in the data mining can be categorized in two subsequent ways. One is called classification and the other is called clustering. Although both refers to so Although both refers to some kind of same region but still there are differences in both the terms.
The classification of the data is only possible if you have modified and identified the clusters. In the presented research paper, our aim is to find out the maximum number of clusters in a specified region by applying the area searching algorithms. Classification is always based on two things. To increase the accuracy of the searching technique, any one would need to focus on two things.
The development of this thesis has been an exciting challenge, with several discussions, meetings, and years of work. During this academic journey, I have been encouraged and accompanied by many people that I would like to thank. First of all, I would like to thank my advisor and friend Oscar Pastor Abstract - Add to MetaCart The development of this thesis has been an exciting challenge, with several discussions, meetings, and years of work.
First of all, I would like to thank my advisor and friend Oscar Pastor for his confidence, affection, support, and encouragement. He gave me the possibility to start researching, and throughout these years, he has always supported my ideas, giving me valuable assistance in every step done to face the challenging life of a researcher.
I would also like to thank my advisor Alain Abran for his assistance, confidence, and encouragement. All our meetings and e-mails have been very helpful to develop, improve, and communicate this work. A special gratitude is to Vicente Pelechano for show me that the hard work had always the best reward and for his extremely quick feedback that I always have received.
Model transformations play an increasingly important role in Model-Driven Engineering MDE , and thus understanding desired non-functional requirements of model transformations and being able to determine how existing transformation languages stack up w.
Abstract - Add to MetaCart Abstract. We survey the literature to provide a list of non-functional requirements of model transformations and find comparisons between three popular model transformation languages ATL, QVT-Relations and AGG according to these requirements. It can be hard to validate that this is the case since the stakeholders might lack the necessary training to access the information of the software models in the PIM.
In contrast, a description of the PIM in natural language will enable all stakeholders to be included in the validation. John H. Holland known as Father of Genetic Algorithms; U.
Brian D. Viktor K. Prasanna pioneer, U. Jose L. Zadeh Father of Fuzzy Logic , Dr. To get a feeling about the conferences' atmosphere, see the delegates photos available at: www. The congress also attempts to connect participants from institutions that have teaching as their main mission with those who are affiliated with institutions that have research as their main mission. The congress uses a quota system to achieve its institution and geography diversity objectives.
This model facilitates communication among researchers in different branches of computer science, computer engineering, and applied computing. The Congress also encourages multi-disciplinary and inter-disciplinary research initiatives; ie, facilitating increased opportunities for cross-fertilization across sub-disciplines. The session chairs will be responsible for all aspects of their sessions; including, soliciting papers, reviewing, selecting, The purpose of the 9th International Conference on Software Engineering Research, Management and Applications SERA held on August , in Baltimore, Maryland was to bring together scientists, engineers, computer users, and students to share their experiences and exchange new ideas and research results about all aspects theory, applications and tools of computer and information sciences, and to discuss the practical challenges encountered along the way and the solutions adopted to solve them.
Software Engineering Research, Management and Applications Software Engineering Research, Management and Applications. The series Studies in Computational Intelligence SCI publishes new developments and advances in the various areas of computational intelligence-quickly and wi.
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