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Knowledge Discovery from Databases

Knowledge discovery in databases of biomechanical variables: application to the sit to stand motor task

Knowledge discovery in databases of biomechanical variables: application to the sit to stand motor task

... called Knowledge Discovery in Databases (KDD)) lend them- selves to be effectively used in this context since they may reveal meaningful patterns and data structures from mas- sive ...

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An Online Classification and Prediction Hybrid System for Knowledge Discovery in Databases

An Online Classification and Prediction Hybrid System for Knowledge Discovery in Databases

... a knowledge base that can be used for classification and prediction in a large database, without the need for pre-sorting or the retention of large training sets in resident ...learning Knowledge Based ...

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Finding Most Effective Sequences of Modules for Students in Higher Education to Improve their Performance using Knowledge Discovery in Databases

Finding Most Effective Sequences of Modules for Students in Higher Education to Improve their Performance using Knowledge Discovery in Databases

... rich knowledge that can be used to facilitate a broad range of educational research and analytics study in order to enhance student ...performance. Knowledge discovery in databases (KDD) is ...

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Knowledge Discovery in Databases (KDD) in online educational system through LON-CAPA system

Knowledge Discovery in Databases (KDD) in online educational system through LON-CAPA system

... One of the most challenging aspects of the system is to provide instructors with information concerning the quality and effectiveness of the various materials in the resource pool on student understanding of concepts. ...

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Self-Organizing Maps For Knowledge Discovery From Corporate Databases To Develop Risk Based Prioritization For Stagnation 

Self-Organizing Maps For Knowledge Discovery From Corporate Databases To Develop Risk Based Prioritization For Stagnation 

... data from water company ...multiple databases, was utilized to identify relationships between water quality, modeled and asset ...finding from the data analysis is that the risk for water quality ...

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Knowledge discovery in databases: application to chromatography

Knowledge discovery in databases: application to chromatography

... chemical databases has dramatically increased the amount of chromatographic data which is available electron- ...discovering knowledge hidden in data and describes how they have been applied to ...

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Knowledge discovery for large databases in education institutes

Knowledge discovery for large databases in education institutes

... advance knowledge o f the group ...a discovery tool that may discover associations and patterns in data which is not previously ...transforms from the invisible to the visible (Alhoniemi, et ...

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To Study the Various Techniques or its Applications in Data Mining

To Study the Various Techniques or its Applications in Data Mining

... Knowledge discovery in databases and data mining aim at semiautomatic tools for the analysis of large data sets We consider some methods used in data mining, concentrating on level wise search for ...

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To Study the Various Methods used in Data Mining

To Study the Various Methods used in Data Mining

... of databases and huge data in various areas. The research in databases and information technology has given rise to an approach to store and manipulate this precious data for further decision ...patterns ...

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Performance of Different Statistical Techniques on Indian Administrative Data by Using GeoDa

Performance of Different Statistical Techniques on Indian Administrative Data by Using GeoDa

... Spatial databases reside terabytes of spatial data that may be obtained from topographic maps, aerial photos, satellite images, medical equipment’s, laser scanners, video cameras among others in public and ...

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Spatial Data Mining, latitude and longitude

Spatial Data Mining, latitude and longitude

... geographic knowledge discovery has emerged as an active research field, focusing on the development of theory, methodology, and practice for the extraction of useful information and knowledge ...

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A Complementary Review of Data-based Clustering Model and Data Analysis for Gene Expressions

A Complementary Review of Data-based Clustering Model and Data Analysis for Gene Expressions

... web knowledge discovery process mining genes' biological processes from web gene databases and specialized web search ...our knowledge-based clustering model generates clusters of ...

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Data Mining Techniques: A Tool For Knowledge Management System In Agriculture

Data Mining Techniques: A Tool For Knowledge Management System In Agriculture

... of databases and data warehouse; knowledge discovery from database/data warehouse (KDD) and development of the mechanism of dissemination of knowledge on information networks as per ...

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Clustering the Preprocessed Automated Blood Cell Counter Data using Modified K means Algorithms and Generation of Association Rules

Clustering the Preprocessed Automated Blood Cell Counter Data using Modified K means Algorithms and Generation of Association Rules

... data from an Automated Blood Cell Counter is transformed in to a Preprocessed and Flattened data using the preprocessing phases of the Knowledge Discovery in Databases and the transformed data ...

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A Novel Survey on Different Mining Tools

A Novel Survey on Different Mining Tools

... Abstract- From past many years Mining has been a wide research area for many researchers because of huge amount of data and information available in databases, and information repositories and Internet ...

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DATA MINING MADE SIMPLE BY APRIORI ALGORITHM FOR MARKET ANALYSIS

DATA MINING MADE SIMPLE BY APRIORI ALGORITHM FOR MARKET ANALYSIS

... Knowledge discovery is an emerging field which combines the techniques from mathematics, statistics, algorithms and Artificial Intelligence to extract the ...of Knowledge Discovery in ...

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Data Mining Approaches for Diabetes using          Feature selection

Data Mining Approaches for Diabetes using Feature selection

... suffered from diabetes or ...mining knowledge from large amounts of ...class. Knowledge Discovery in Databases is the process of finding useful information and patterns in data ...

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Title: Enhancing Clustering Mechanism by Customised Expectation– Maximization Algorithm: A Review

Title: Enhancing Clustering Mechanism by Customised Expectation– Maximization Algorithm: A Review

... value from data, & seldom to a particular size of data ...called knowledge discovery in databases, namely step in which modeling techniques are ...of knowledge in databases, ...

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Functions, Processes, Stages And Application Of Data Mining

Functions, Processes, Stages And Application Of Data Mining

... definitions from several sources (Larose, 2005): Data mining is the process of finding something meaningful from a new correlation, existing patterns and trends by sorting through large data stored in the ...

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A Novel Approach for Finding Frequent Itemsets done by Comparison based Technique

A Novel Approach for Finding Frequent Itemsets done by Comparison based Technique

... In: Proceeding of the 2002 ACM SIGKDD international conference on knowledge discovery in databases KDD’02, Edmonton, Canada, pp 71–80 [28] Zaki MJ,Hsiao CJ 2002 CHARM: an efficient algor[r] ...

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