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Data Mining

Ihssan Alkadi
2011 Review of Business Information Systems (RBIS)  
The research and development in database systems has led to the development of relational database systems, data modeling tools, and indexing and data organization techniques.  ...  So data mining tools will turn data tombs into golden nuggets of knowledge.  ...  Apart from these Data Mining is performed on Object-Oriented Databases, Object-Relational Databases, Spatial Databases, Temporal Databases and Time-Series Databases, Text Databases and Multimedia Databases  ... 
doi:10.19030/rbis.v12i1.4394 fatcat:kfkbtc5sirge3ojdtbvxrv5so4

Web data modeling for integration in data warehouses [article]

Sami Miniaoui, Omar Boussaïd
2007 arXiv   pre-print
We propose in this paper a UML conceptual model for a complex object representing a superclass of any useful data source (databases, plain texts, HTML and XML documents, images, sounds, video clips...)  ...  The translation into a logical model is achieved with XML, which helps integrating all these diverse, heterogeneous data into a unified format, and whose schema definition provides first-rate metadata  ...  ., knowledge), thus connecting OLAP to other analysis tools such as KDD (Knowledge Discovery in Databases) techniques (namely, data mining), whose objectives are to understand and predict the behavior  ... 
arXiv:0705.1457v1 fatcat:kxmzrekmdjf7hdunvxmiswwyzy

Improving Decision Support Systems with Data Mining Techniques" [chapter]

Adela Bra, Ion Lungu
2012 Advances in Data Mining Knowledge Discovery and Applications  
Acknowledgement This paper is a result of the research project PN II, TE Program, Code 332: "Informatics Solutions for decision making support in the uncertain and unpredictable environments in order to  ...  integrate them within a grid network", financed within the framework of People research program.  ...  Data is analyzed through an automated process, known as Knowledge Discovery in data mining techniques.  ... 
doi:10.5772/47788 fatcat:s6zfk4ze7vd2daivvsomdtucl4

Integration and dimensional modeling approaches for complex data warehousing

O. Boussaid, Adrian Tanasescu, Fadila Bentayeb, Jérôme Darmont
2006 Journal of Global Optimization  
We propose an approach that exploits data mining techniques to assist users in building relevant dimensional models.  ...  Complex data are then stored in XML documents generated by a piece of software we designed. The second important phase we address is the preparation of data for dimensional modeling.  ...  For instance, distinct solutions are proposed for multimedia data management and information retrieval (Grabczewski et al. 2001) or knowledge discovery in texts, images or videos (text mining, image  ... 
doi:10.1007/s10898-006-9064-6 fatcat:3j7a775airddbdnbym2wrkrsky

Survey On Intelligent Data Repository Using Soft Computing

A. Prema, A.Pethalakshmi
2015 Zenodo  
The Data warehouse is a corporation of all data marts within the enterprise. Information is always accumulated in the dimensional model.  ...  Data warehouse is one of the components of the overall business intelligence system. An enterprise has one data warehouse, and data marts source has their information from the data warehouse.  ...  An OLAP system is market-oriented and is used for data analysis by knowledge workers, including managers, executives and analysts.  ... 
doi:10.5281/zenodo.32280 fatcat:q2zh46vpofbq5mbojvjtd6zig4

Knowledge Harvesting for Business Intelligence [chapter]

Nesrine Ben Mustapha, Marie-Aude Aufaure
2013 Lecture Notes in Business Information Processing  
This paper aims at describing the importance of semantic technologies (ontologies) and knowledge extraction techniques for knowledge management, search and capture in e-business processes.  ...  We will present the state of the art of ontology learning approaches from textual data and web environment and their integration in enterprise systems to perform personalized and incremental knowledge  ...  Indeed, in [15] , the authors distinguish: • Document oriented search engines; • Entity oriented search engines; • Multimedia search engines; • Relation Oriented Search; • Search Engine based on semantic  ... 
doi:10.1007/978-3-642-36318-4_8 fatcat:rzo4x452orbgveortwrw5izgry

Spatial Datawarehousing [chapter]

Alejandro A. Vaisman, Esteban Zimányi
2017 Encyclopedia of Database Systems  
In the case of Web data warehouses, there have been repeated efforts to develop new data models for the Web that retain its topological structure and support efficient querying that goes beyond the keyword  ...  Web data warehousing, pattern data warehousing. Web data warehouses store massive amounts of Web data including URLs, structured and unstructured text, and multimedia content.  ...  Spatial data is stored in different data formats that are structure-specific (for example, raster-versus vector-based spatial data, object-oriented versus relational models, different spatial storage and  ... 
doi:10.1007/978-1-4899-7993-3_80810-1 fatcat:7yo63qvmhfadzn5vwn2x7bizku

Modelling of E-Governance Framework for Mining Knowledge from Massive Grievance Redressal Data

Sangeetha G, L. Manjunatha Rao
2016 International Journal of Electrical and Computer Engineering (IJECE)  
Because of this fact, the proposed system attempts to understand the possibility of performing knowledge discovery process from grievance Data using conventional data mining algorithms.  ...  With the massive proliferation of online applications for the citizens with abundant resources, there is a tremendous hike in usage of e-governance platforms.  ...  This step assists in making the data more reliable and compatible to be processed under proposed datamining approach for the purpose of knowledge discovery.  ... 
doi:10.11591/ijece.v6i1.9019 fatcat:r7ay6tnjajhbhdmyo7nsobfx3u

Knowledge Discovery In GIS Data [article]

Ayman Taha
2016 arXiv   pre-print
The proposed model is applied to an existing project for supporting literacy in Fayoum governorate in Arab Republic of Egypt (ARE).  ...  Analyzing the behavior of these objects may produce an interesting knowledge, which has an effective role in the decision-making process.  ...  In addition to the DW, the data mart term is used, data mart may be a part of the data warehouse.  ... 
arXiv:1601.07241v1 fatcat:ljjln7jzcneodflc5v7x5ddd7m

Construing the big data based on taxonomy, analytics and approaches

Ajeet Ram Pathak, Manjusha Pandey, Siddharth Rautaray
2018 Iran Journal of Computer Science  
Big data have become an important asset due to its immense power hidden in analytics.  ...  Every organization is inundated with colossal amount of data generated with high speed, requiring high-performance resources for storage and processing, special skills and technologies to get value out  ...  database connectivity JSON JavaScript object notation KDD Knowledge discovery in databases KDDA Knowledge discovery via data analytics k-NN k-nearest neighbors LIBSVM Library for support  ... 
doi:10.1007/s42044-018-0024-3 fatcat:teiovluolngepjyebzz2wnwjxu

Geographic Data Mining and Knowledge Discovery An Overview [chapter]

Jiawei Han, Harvey Miller
2009 Geographic Data Mining and Knowledge Discovery, Second Edition  
In this chapter, we provide an overview of knowledge discovery from databases (KDD) and data mining.  ...  KNOWLEDGE DISCOVERY AND DATA MINING In this section of the chapter, we provide a general overview of knowledge discovery and data mining.  ...  Acknowledgments: Thanks to Mark Gahegan and Phoebe McNeally for some helpful comments on this chapter.  ... 
doi:10.1201/9781420073980.ch1 fatcat:bfh4kasvlbhylgwu2afp5wrqbq

Efficient Framework of e-Government for Mining Knowledge from Massive Grievance Redressal Data

Sangeetha G, Manjunatha. L Rao
2015 IJARCCE  
Because of this fact, the proposed system attempts to understand the possibility of performing knowledge discovery process from grievance Data using conventional data mining algorithms.  ...  With the massive proliferation of online applications for the citizens with abundant resources, there is a tremendous hike in usage of e-governance platforms.  ...  Knowledge Discovery in E-governance: Data mining is an essential step of knowledge discovery. In recent years it has attracted great deal of interest in Information industry.  ... 
doi:10.17148/ijarcce.2015.45142 fatcat:slly6h36yvarfnnjscfk4o7tli

Goal driven approach to model interaction between viewpoints of a multi-view KDD process

EL Moukhtar Zemmouri, Hicham Behja, Brahim Ouhbi, Brigitte Trousse, Abdelaziz Marzak, Youssef Benghabrit
2012 2012 Next Generation Networks and Services (NGNS)  
In this paper we propose to enhance coordination and knowledge sharing between actors of a multiview KDD analysis through a goal driven modeling of interactions between viewpoints.  ...  After a brief review of our approach of viewpoint in KDD, we will first develop a Goal Model that allows identification and representation of business objectives during the business understanding step  ...  In [3] , Kurgan and Musilek draw up a comprehensive survey of knowledge discovery and data mining standard process models.  ... 
doi:10.1109/ngns.2012.6656066 fatcat:c6dzpbbre5c4jdnv6qjlmayjqu

A web-based consumer-oriented intelligent decision support system for personalized e-services

Chien-Chih Yu
2004 Proceedings of the 6th international conference on Electronic commerce - ICEC '04  
In this paper we present an integrated framework for developing webbased consumer-oriented intelligent decision support systems to facilitate all phases of consumer decision-making process in business-to-consumer  ...  Due to the rapid advancement of electronic commerce and web technologies in recent years, the concepts and applications of decision support systems have been significantly extended.  ...  ACKNOWLEDGMENTS This research was supported in part by National Science Council under Project NSC 92-2416-H004-019.  ... 
doi:10.1145/1052220.1052274 dblp:conf/ACMicec/Yu04 fatcat:v36rberqdnesvfxhzuru7kb7wy

Modelling of e-Governance Framework for Mining Knowledge from Massive Grievance Redressal Data

Sangeetha G, L. Manjunatha Rao
2017 International Journal of Advances in Applied Sciences  
Because of this fact, the proposed system attempts to understand the possibility of performing knowledge discovery process from grievance Data using conventional data mining algorithms.  ...  With the massive proliferation of online applications for the citizens with abundant resources, there is a tremendous hike in usage of e-governance platforms.  ...  Knowledge Discovery in E-governance: Data mining is an essential step of knowledge discovery. In recent years it has attracted great deal of interest in Information industry.  ... 
doi:10.11591/ijaas.v6.i1.pp32-41 fatcat:jalsl6g6uvcuhpmfxiopez6iqq
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