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Database And Data Mining

Impacts of Data Mining on Relational Database Management System Centric Business Environments

Impacts of Data Mining on Relational Database Management System Centric Business Environments

... of data mining (DM) on relational database management system (RDBMS) centric business ...of data in relational repository with the advancement of storage capacity but no strategic information ...

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A Data Mining Process In An Indigenous Knowledge Ethno Medicinal Database

A Data Mining Process In An Indigenous Knowledge Ethno Medicinal Database

... Plants database is reported by [8] to have been initially created at the Catholic University of Louvain (Louvain-la-Neuve, Belgium) but in order to insure better conservation and technical management it was ...

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A DESIGN OF AN OBJECT-ORIENTED DATABASE   FOR  EFFECTIVE DATA MINING

A DESIGN OF AN OBJECT-ORIENTED DATABASE FOR EFFECTIVE DATA MINING

... of data mining is Data Classification which is the process of finding a valuable set of models that are self-descriptive and distinguishable data classes or concepts, to predict the set of ...

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Data Mining with Oracle Database 11g Release 2

Data Mining with Oracle Database 11g Release 2

... supervised data mining algorithm sifts through the data searching for patterns and builds a data mining model that captures the relationships found in the ...the data is ...

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Association Rules of Data Mining Application for Respiratory Illness by Air Pollution Database

Association Rules of Data Mining Application for Respiratory Illness by Air Pollution Database

... processed data into useful information and knowledge (Fayyad et al. 1996). Data mining which is also known as knowledge discovery in databases is a process o f nontrivial extraction of implicit, ...

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A Graph Model Object Oriented Database For Data Mining

A Graph Model Object Oriented Database For Data Mining

... Descriptive mining extracts vital characteristics and/or feats of data from ...Rule Mining and Sequential mining; While Predictive mining derives hidden patterns and trends from ...

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The Building of Urban Power Grid Information Database and it’s Data Mining

The Building of Urban Power Grid Information Database and it’s Data Mining

... information database [1-2]. At home and abroad, the application of data mining technology in electric industry are also going ...using data mining technology, and predicted the future ...

5

Predictive Analysis On Student Competency In Database Management System: A Data Mining Approach

Predictive Analysis On Student Competency In Database Management System: A Data Mining Approach

... in Database (KDD), a process that acquires new knowledge from a myriad of data using data mining ...activities: data selection, data processing, data transformation, and ...

5

The Ultimate Debian Database: Consolidating Bazaar Metadata for Quality Assurance and Data Mining

The Ultimate Debian Database: Consolidating Bazaar Metadata for Quality Assurance and Data Mining

... Debian Database (UDD) is a data ware- housing solution for data sources about the Debian ...distribution data to highlight package and maintainer metrics which are relevant for Quality ...

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A Comparative Study of Data Mining Algorithms used for Signal Detection in FDA AERS Database

A Comparative Study of Data Mining Algorithms used for Signal Detection in FDA AERS Database

... of data mining algorithms used in signal ...three data mining algorithms (DMAs) (Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR) and Information Component (IC)) were selected ...

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Data Mining Using Relational Database Management Systems

Data Mining Using Relational Database Management Systems

... Weka data mining library, WekaDB, which allows the data used by the learning algorithms to reside on secondary ...new data mining algorithms, we believe that WekaDB provides an ...

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Redesigning Database Management Course Syllabus: A Predictive Approach Using Data Mining Technique

Redesigning Database Management Course Syllabus: A Predictive Approach Using Data Mining Technique

... the database structure, conceptualize database design in actual-world set-up, and discuss structured query language ...of Data Mining (DM) in making accurate prediction and interpretation of ...

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Data Mining and Knowledge Discovery in Database

Data Mining and Knowledge Discovery in Database

... and data mining have become areas of growing significance because of the recent increasing demand for KDD techniques, including those used in machine learning, databases, statistics, knowledge acquisition, ...

7

Database Issues in Knowledge Discovery and Data Mining

Database Issues in Knowledge Discovery and Data Mining

... This paper surveys, from the standpoint of the database systems community, current issues in data mining research by examining the architectural and process models adopted by knowledge d[r] ...

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Discovering knowledge hidden in a chemical database using a commercially available data mining tool

Discovering knowledge hidden in a chemical database using a commercially available data mining tool

... The tool that was used in this project is called D ata M ariner (Release 2.3.1) [Logica, 1993] [Nabney & Grasl, 1991] which is a data mining package developed by Logica. It incorporates both cluster ...

7

Mining Views: Database Views for Data Mining

Mining Views: Database Views for Data Mining

... As already pointed out in the introduction, the work presented here builds upon our own preliminary work on the integration of association rule mining and decision tree learning into database systems [2, ...

13

A Database of Marathi Numerals for Speech Data Mining

A Database of Marathi Numerals for Speech Data Mining

... This paper presents Marathi language speech corpus. The size of the corpus is 10000 speech samples recorded for ten Marathi numerals. The dataset covers variety in terms of gender, age and dialect spread across ...

5

Keywords: Security; data warehouse; data mining; statistical database security; privacy

Keywords: Security; data warehouse; data mining; statistical database security; privacy

... aggregated data of more than one rows will not solve the problem. Repeatedly querying “How many employees are older than X? ” until the system rejects the query because the query would return less than N rows, ...

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Database Intrusion Detection using Weighted Sequence Mining

Database Intrusion Detection using Weighted Sequence Mining

... sensitivity data items. Weighted data mining problems are being studied only very ...rule mining technique in which they assign numerical weights to each item to reflect interest/intensity of ...

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Secured Association Rule Mining In Partitioned Database

Secured Association Rule Mining In Partitioned Database

... years Data mining becomes a vital area of research for researcher. Data mining aims to find hidden information from large database although secret data is kept safely when ...

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