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[PDF] Top 20 Discovering knowledge hidden in a chemical database using a commercially available data mining tool

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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 data was successfully controlled: values were ignored, merged and ordered in various ways as ...induced using I nduce from the data in an example-file which itself had been created from ... See full document

7

An Overview of Data Mining Techniques and Applications and its Future Scope

An Overview of Data Mining Techniques and Applications and its Future Scope

... of data mining is to extract the useful information for users from a large amount of ...data. Data mining, discovering of hidden predictive information from large ... See full document

9

Association Rule Mining in Discovering Travel          Pattern in Passport Data Analysis

Association Rule Mining in Discovering Travel Pattern in Passport Data Analysis

... Data mining is the exploration and analysis of large quantities of data in order to discover valid, novel, potentially useful, and ultimately understandable patterns in data ...[1]. ... See full document

13

A STUDY ON DATA MINING INVESTIGATING ITS METHODS, APPROACHES AND APPLICATIONS

A STUDY ON DATA MINING INVESTIGATING ITS METHODS, APPROACHES AND APPLICATIONS

... large data warehouse to better manage their customer ...with data mining are: well- integrated data warehouse and a well-defined understanding of the business process within which data ... See full document

6

Predicting Dropout Students Using Data Mining Techniques

Predicting Dropout Students Using Data Mining Techniques

... of data stored in educational database increasing ...contain hidden information of students’ performance. Educational data mining is used to study the data available in ... See full document

7

Cardiovascular Disease Prediction Using Data Mining Techniques: A Review

Cardiovascular Disease Prediction Using Data Mining Techniques: A Review

... by using computer based predictive tool in data ...implementing data mining based techniques there is scope for better and reliable prediction and diagnosis of heart ...various ... See full document

9

Using rough set through for classification of image segmentation data

Using rough set through for classification of image segmentation data

... meaningful data: easy to understand and analyse as well, without human ...region-based, knowledge-based analysis, etc) have been previously applied in this area of ... See full document

26

Mining the Impact of Climate Change on Animal Production

Mining the Impact of Climate Change on Animal Production

... for mining data using in ...climate data using data mining. Attribute selection, data classification and decision trees were used to model and predict the effect of ... See full document

5

A FORMAL DEFINITION OF METRICS FOR OBJECT ORIENTED DESIGN: MOOD METRICS

A FORMAL DEFINITION OF METRICS FOR OBJECT ORIENTED DESIGN: MOOD METRICS

... from data explosion and knowledge explosion era. In the knowledge overload era, businesses’ decision-maker is more need to be supported by practical ...transformation knowledge will help the ... See full document

7

A Comparative Analysis of Classification Algorithms on Weather Dataset Using Data Mining Tool

A Comparative Analysis of Classification Algorithms on Weather Dataset Using Data Mining Tool

... The tool we used for the result analysis is WEKA which consists of large number of open source machine learning ...values).The data set we used is weather which is input to weka in ARFF ... See full document

5

A Data Mining Process In An Indigenous Knowledge Ethno Medicinal Database

A Data Mining Process In An Indigenous Knowledge Ethno Medicinal Database

... a database containing knowledge captured on the plants and their medicinal uses together with relevant ...large data sets from different districts and ecological zones in which different traditional ... See full document

9

Effective of Combined Mining Techniques with Kinship Search in Complex Data

Effective of Combined Mining Techniques with Kinship Search in Complex Data

... problems. Data Mining offers thepotential for much deeperanalysis and predictions in this ...makes Data Mining a better choice in comparison to traditionalstatistics ...of data, ... See full document

6

A Review on Insider Attack Detection Algorithm Using Data Mining Techniques

A Review on Insider Attack Detection Algorithm Using Data Mining Techniques

... [5] These researchers believe the use of decoy data, files documents can help us to solve the problem of insider attacks. Therefore, they have developed an algorithm that works on the concept of decoys. After ... See full document

5

Fuzzy evaluation on supply chain competitiveness based on membership degree transformation new algorithm

Fuzzy evaluation on supply chain competitiveness based on membership degree transformation new algorithm

... The transformation of membership degree is the key computation of fuzzy evaluation for multi-indexes fuzzy decision-making, but the existing transformation methods have some questions. The paper analyzes the reasons of ... See full document

6

Computer-Based Clinical Decision Support System
          for Prediction of Heart Diseases Using Naïve Bayes
          Algorithm

Computer-Based Clinical Decision Support System for Prediction of Heart Diseases Using Naïve Bayes Algorithm

... Each data mining technique serves a different purpose depending on the modeling objective. The two most common modeling objectives are classification and prediction. Classification models predict ... See full document

5

Classification Rule and Exception Mining Using Nature
          Inspired Algorithms

Classification Rule and Exception Mining Using Nature Inspired Algorithms

... RULE MINING USING GA For last few decades, GAs have been extensively employed in rule ...for discovering classification rules, have been proposed in the ... See full document

8

Predictive Data Mining for Highly Imbalanced Classification

Predictive Data Mining for Highly Imbalanced Classification

... The two central types of engineering prediction problems are classification and regression. Samples/observables of past experience with known attributes (features) are examined and generalized to future cases. ... See full document

5

Towards FAIRer Biological Knowledge Networks Using a Hybrid Linked Data and Graph Database Approach

Towards FAIRer Biological Knowledge Networks Using a Hybrid Linked Data and Graph Database Approach

... Proper data models and data standards are key to realise the goals and hopes of the FAIR principles, which, in turn, are very important for improving the digital access to scientific knowledge, ... See full document

11

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] ... See full document

28

Data Mining: A Knowledge Discovery Approach

Data Mining: A Knowledge Discovery Approach

... this data can provide ...transaction data can yield information on which products are selling and ...[4] Knowledge: Information can be converted into knowledge about historical patterns and ... See full document

6

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