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检索条件"任意字段=International Conference on Advances in Databases, Knowledge, and Data Applications, DBKDA"

共 152 条记录，以下是61-70 订阅

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Proposal and survey of various data mining aspects in mobile computing environment 3

Proposal and survey of various data mining aspects in mobile...

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3rd international conference on Soft Computing for Problem Solving, SocProS 2013

作者： Pabla, Harcharan Singh Singh, Sukhdeep Gupta, Niyati Makhija, Palak Kaur, Prabhjot Singh, Gurpal Department of Engineering and Computer Science Concordia University MontrealQC Canada Department of Computer Science and Engineering Gyan Vihar University JaipurRajasthan India Department of Information and Technology Gyan Vihar University JaipurRajasthan India

ISBN: (纸本)9788132217701

data mining has its own statuary position in the communication industry. The other term coined for data mining is knowledge discovery of databases it might be mobile databases also. The analysis and discussion of different aspects of mining on mobile environment has been carried out in this paper. Firstly we have proposed two mining approaches for mobile environment i.e. CSU (Create, Select, Update) algorithm and CSA (Create, Select, Alter) algorithm. These two algorithms are achieved by CLDC component of J2ME which has also been discussed in the same paper. Secondly, we have proposed a new term i.e. Ambulatory data Mining (ADM) which is used to perform collaborative mining of data streams in mobile environments. Wireless communication technologies like Wi-Fi and Bluetooth, which interconnect the mobile devices, have opened doors for collaborative mining amongst the mobile devices targeting the same applications which are used for running data mining techniques on mobile devices. This collaborative mining has been achieved with the help of various mobile softwareagents. So, in the last section we have conducted a survey of various mobile software agents like INTELLIMINER, PADMA, PAPYRUS, HYBRID, KENSINGTON and DKN and discussed their salient features. © Springer India 2014.

关键词： data mining

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Tree Redundancy by Induction Mining（TRIM）

Tree Redundancy by Induction Mining（TRIM）

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international conference on advances in Engineering and Technology (ICAET’2014, Singapore)

作者： Rajalakshmi Selvaraj Venu Madhav Kuthadi the Dept.of CS BIUST Dept.of AIS University of Johannesburg

The main description of this paper is to explain about the flow chart of the tree structured data. The tree structured data consists of internal nodes and are described as attributes and the branches related to the tree are an outcome of the attributes. The leaf nodes of the tree represent the classes’ distributional methods. In every tree structured format the top node is considered as the root node. In general the sample of data retrieval is found by the attribute values of the sample which are tested against the tree decisional formats. The path is described from the root node to the leaf node which holds the prediction of the class of samples. In noted format the trees are converted very easily in to the classification solutions. This paper explains an algorithm for improving the knowledge of decisional tree structured formats. It is understood that the decisional trees reflecting the noise of outliers in many training structured data formalities. In such cases the tree pruning techniques removes the redundant branches to improve the classification efficiency for the unseen data in the databases. In many large databases for data retrieval operations the scalability issues are used for the induction of decision trees. In many data ware houses the integration of decisional making facilities are also examined and implemented such as data cubical methods. The mining methods of decisional trees are considered as multiple granularities and are used in many applications with a wide range from medicines to business theories. Basically these are the commercial ruling strategies for induction systems. The algorithm in this paper converts the tree induction methods in the form of a greedy algorithm, which constructs the decisional tree structured formats in to the recursion top down methods and divides and acquires mannerism.

关键词： samples attributes outliers pruning fragmentation replication gaining prone

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The knowledge on the Basis of Fact Analysis in Business Intelligence

The Knowledge on the Basis of Fact Analysis in Business Inte...

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IFIP TC 5 international conference on Project Research On Leading-edge applications and Methods for Applied Information Technology

作者： Vokhmintsev, Alexander Melnikov, Andrey Chernovtsy State Univ Chernovtsy Ukraine

ISBN: (纸本)9783642413292;9783642413285

This article discusses the problem of searching and analyzing scientific and technical information gathered from open sources in the field of business intelligence. Subject area is represented through ontological model extended by fuzzy links between objects. Using this ontology-based approach, we have created "Cyber-analytic", information analysis system which is capable of extracting facts from natural-language texts in Russian and English, and representing them as object relationships. We use i2 Analyst's Notebook. as a visualization tool.

关键词： Fact analysis semantic network knowledge base full-text databases ontologies text mining data processing applied linguistics fact extract factual data model syntactic-semantic tree of dependencies

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data preprocessing using intelligent agents

引用

1st international conference on Frontiers in Intelligent Computing: Theory and applications, FICTA 2012

作者： Christa, Sharon Suma, V. Madhuri, Lakshmi Department of Information Science and Engineering Dayananda Sagar College of Engineering Bangalore India Research and Industry Incubation Centre Dayananda Sagar College of Engineering Bangalore India

ISBN: (纸本)9783642353130

knowledge discovery in data base aims to analyze the databases for meaningful patterns and information regarding the same. data mining is the process in KDD that identifies patterns and knowledge from various sources of database or even from different database. Even though data mining has a very significant role in the real world, the mining of data in the database does not yield correct results due to various real world problems like data inconsistencies. There comes the significance of data preprocessing where the inconsistencies of data is removed. This paper provides the design and development of intelligent software that uses agent based data preprocessing environment to improve the data processing activities, which in turn enhances the quality of data to be mined. © 2013 Springer-Verlag.

关键词： database systems

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MyMukim2Cloud Collaborative System

MyMukim2Cloud Collaborative System

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international conference on Information and Communication Technology for the Muslim World (ICT4M)

作者： Burhan Saleh Nalinee Ma-Key Abdul Rahman Ahmad Dahlan Rahmah Ahmad H. Osman Faculty of information and Communication Technology International Islamic University Malaysia Kuala Lumpur Malaysia Faculty of Islamic Revealed Knowledge & Human Sciences International Islamic University Malaysia Kuala Lumpur Malaysia

This conceptual paper seeks to put forth a novel vision, namely the combined deployment of the Quadruple Helix Model (QHM) collaboration mooted by Agensi Inovasi Malaysia, a Whole-of-Government (WoG) concept of ICT implementation across the Malaysian government agencies mooted by Malaysia Administrative and Modernization Planning Unit (MAMPU) and the Network of Mosques (NoM). This will be accomplished through leveraging the advances in cloud computing and mobile applications in setting up a proposed conceptual MyMukim2Cloud Collaborative System. The QHM actors, namely the Government, Academia, Industry and Citizen need to collaborate and share resources in nurturing and addressing the needs of less privileged and less fortunate people holistically, rather than the current practice which is executed in silos, isolation or independently. This proposed collaborative inter-organizational system is to enable a WoG and consolidated approach for government agencies, NGOs, the private sector and individuals in building up a single and trusted national database based on three (3) focus groups of people proposed in this paper, namely the Orphanage, the Poor and the Disabled. This database, proposed to be co-owned and managed by government agencies such as Department of Social Welfare (DSW) and Department of Islamic Development Malaysia (JAKIM), can be accessed, used and updated by all other authorized and relevant organizations and individuals in making a consolidated contribution in nurturing and developing these groups. Thus, this System shall eliminate unnecessary and duplication in data, efforts and investments made by the various organizations. The expected outcome of MyMukim2Cloud System will be an enhanced quality of life for the proposed focus groups through the execution of social entrepreneurship concept in healthcare, education and financial activities provided by the QHM collaborators.

关键词： Government Collaboration Communities Educational institutions Industries databases

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2013 international workshop on computational scientometrics: theory and applications 13

2013 international workshop on computational scientometrics:...

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Proceedings of the 22nd ACM international conference on Information & knowledge Management

作者： Cornelia Caragea C. Lee Giles Lior Rokach Xiaozhong Liu University of North Texas Denton TX USA Pennsylvania State University State College PA USA Ben-Gurion University of the Negev Beer-Sheva Israel Indiana University Bloomington IN USA

ISBN: (纸本)9781450322638

The field of Scientometrics is concerned with the analysis of science and scientific research. As science advances, scientists around the world continue to produce large numbers of research articles, which provide the technological basis for worldwide collection, sharing, and dissemination of scientific discoveries. Research ideas are generally developed based on high quality citations. Understanding how research ideas emerge, evolve, or disappear as a topic, what is a good measure of quality of published works, what are the most promising areas of research, how authors connect and influence each other, who are the experts in a field, what works are similar, and who funds a particular research topic are some of the major foci of the rapidly emerging field of Scientometrics. Digital libraries and other databases that store research articles have become a medium for answering such questions. Citation analysis is used to mine large publication graphs in order to extract patterns in the data (e.g., citations per article) that can help measure the quality of a journal. Scientometrics, on the other hand, is used to mine graphs that link together multiple types of entities: authors, publications, conference venues, journals, institutions, etc., in order to assess the quality of science and answer complex questions such as those listed above. Tools such as maps of science that are built from digital libraries, allow different categories of users to satisfy various needs, e.g., help researchers to easily access research results, identify relevant funding opportunities, and find collaborators. Moreover, the recent developments in data mining, machine learning, natural language processing, and information retrieval makes it possible to transform the way we analyze research publications, funded proposals, patents, etc., on a web-wide scale.

关键词： citation classification committee recommendation expert search co-author collaboration

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advances in Computational Intelligence, Part I 2012

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丛书名： Communications in Computer and Information Science

2012年

作者： Salvatore Greco Bernadette Bouchon-Meunier Giulianella Coletti Mario Fedrizzi Benedetto Matarazzo Ronald R. Yager

ISBN: (数字)9783642317095

ISBN: (纸本)9783642317088

These four volumes (CCIS 297, 298, 299, 300) constitute the proceedings of the 14th international conference on Information Processing and Management of Uncertainty in knowledge-Based Systems, IPMU 2012, held in Catania, Italy, in July 2012. The 258 revised full papers presented together with six invited talks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on fuzzy machine learning and on-line modeling; computing with words and decision making; soft computing in computer vision; rough sets and complex data analysis: theory and applications; intelligent databases and information system; information fusion systems; philosophical and methodological aspects of soft computing; basic issues in rough sets; 40th anniversary of the measures of fuziness; SPS11 uncertainty in profiling systems and applications; handling uncertainty with copulas; formal methods to deal with uncertainty of many-valued events; linguistic summarization and description of data; fuzzy implications: theory and applications; sensing and data mining for teaching and learning; theory and applications of intuitionistic fuzzy sets; approximate aspects of data mining and database analytics; fuzzy numbers and their applications; information processing and management of uncertainty in knowledge-based systems; aggregation functions; imprecise probabilities; probabilistic graphical models with imprecision: theory and applications; belief function theory: basics and/or applications; fuzzy uncertainty in economics and business; new trends in De Finetti's approach; fuzzy measures and integrals; multicriteria decision making; uncertainty in privacy and security; uncertainty in the spirit of Pietro Benvenuti; coopetition; game theory; probabilistic approach.

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advances in Computational Intelligence, Part II 2012

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丛书名： Communications in Computer and Information Science

2012年

作者： Salvatore Greco Bernadette Bouchon-Meunier Giulianella Coletti Mario Fedrizzi Benedetto Matarazzo Ronald R. Yager

ISBN: (数字)9783642317156

ISBN: (纸本)9783642317149

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advances in Computational Intelligence, Part III 2012

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丛书名： Communications in Computer and Information Science

2012年

作者： Salvatore Greco Bernadette Bouchon-Meunier Giulianella Coletti Mario Fedrizzi Benedetto Matarazzo Ronald R. Yager

ISBN: (数字)9783642317187

ISBN: (纸本)9783642317170

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advances in Computational Intelligence, Part IV 1st ed. 2012

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丛书名： Communications in Computer and Information Science

2012年

作者： Salvatore Greco Bernadette Bouchon-Meunier Giulianella Coletti Mario Fedrizzi Benedetto Matarazzo Ronald R. Yager

ISBN: (数字)9783642317248

ISBN: (纸本)9783642317231

These four volumes (CCIS 297, 298, 299, 300) constitute the proceedings of the 14th international conference on Information Processing and Management of Uncertainty in knowledge-Based Systems, IPMU 2012, held in Catania, Italy, in July 2012. The 258 revised full papers presented together with six invited talks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on fuzzy machine learning and on-line modeling; computing with words and decision making; soft computing in computer vision; rough sets and complex data analysis: theory and applications; intelligent databases and information system; information fusion systems; philosophical and methodological aspects of soft computing; basic issues in rough sets; 40th anniversary of the measures of fuziness; SPS11 uncertainty in profiling systems and applications; handling uncertainty with copulas; formal methods to deal with uncertainty of many-valued events; linguistic summarization and description of data; fuzzy implications: theory and applications; sensing and data mining for teaching and learning; theory and applications of intuitionistic fuzzy sets; approximate aspects of data mining and database analytics; fuzzy numbers and their applications; information processing and management of uncertainty in knowledge-based systems; aggregation functions; imprecise probabilities; probabilistic graphical models with imprecision: theory and applications; belief function theory: basics and/or applications; fuzzy uncertainty in economics and business; new trends in De Finetti's approach; fuzzy measures and integrals; multi criteria decision making; uncertainty in privacy and security; uncertainty in the spirit of Pietro Benvenuti; coopetition; game theory; probabilistic approach.

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