Data mining is the discovery of knowledge and useful information from the data stored in large databases. The classification of large data sets is an important problem in data mining. Most data mining algorithms canno...
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ISBN:
(纸本)9781424449378
Data mining is the discovery of knowledge and useful information from the data stored in large databases. The classification of large data sets is an important problem in data mining. Most data mining algorithms cannot be applied to complex objectdatabases unless it is converted into a single flat table. Much valuable information especially the linkages between objects could be lost by conversion of such databases into a single table. As object-oriented data models embody rich data structures and semantics in the construction of complex databases, such as complex data objects, class hierarchies, property inheritance and methods, etc. So it is important to extend the area of study from relational database systems to object-oriented database systems and investigate the mechanisms for knowledge discovery in object-oriented databases[7,22]. This paper presents a brief review of some of the significant researches available in the literature for object-oriented data mining.
This paper describes a design methodology for an objectoriented database, based on a semantic network. This approach is based on the assumption that semantic data models are more powerful and more easy to use than cu...
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In this article, we propose a solution for the distributed objectoriented database design. Our work is based on a top-down approach. Notably, we concentrate on the allocation step that allows to place the object clas...
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In this paper we present a uniform approach to dynamic relationships in objectorienteddatabases. We present our relationship categorisation based on dividing the object database into three virtual spaces each hostin...
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This paper formalizes inheritance and genericity in the context of objectorienteddatabases. We present a uniform view for objects and types. We model, in the same framework, multiple inheritance and unconstrained ge...
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ODB-Tools is a integrated environment for the objectoriented database (OODB) validation, preserving taxonomy coherence and performing taxonomic inferences, and semantic query optimization. Semantic query optimization...
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This paper presents a security model for objectorienteddatabases. The approach involves the introduction of several security concerns in objectorienteddatabases. The access specifiers concept of objectoriented pr...
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This paper proposes a bottom-up method that helps designers of decision support systems to construct data mart schemas based on an object database. Our method extracts the database schema from the repository of the ob...
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Many object-oriented systems and semantic data models offer mechanisms for attribute inheritance based on the concept of generalization. But some applications, for instance from the fields of CAD/CAM or artificial int...
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In this paper, we address the representation of object-oriented databases in XML format. This will allow for better and platform independent sharing of data stored in object-oriented format. We handle the process by f...
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ISBN:
(纸本)9781605583495
In this paper, we address the representation of object-oriented databases in XML format. This will allow for better and platform independent sharing of data stored in object-oriented format. We handle the process by first applying a reverse engineering approach to extract what we call an object-graph from the object-oriented database. Then, we convert the object-graph into XML schema;we avoid DTD representation because XML schema is more flexible and widely accepted as part of the standardization of XML. Deriving the object-graph empowers the proposed approach to smoothly consider both the inheritance and the nesting hierarchies during the mapping into XML schema. We provide a user-friendly interface that displays the result of each phase of the conversion process. Test results are encouraging, demonstrating the applicability and effectiveness of the proposed approach. Copyright 2008 ACM.
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