Intuitive Content Management System to Preferences Template Throughout Data Collection by using Data Mining Classification of Prediction Method
Data mining is a process to analyse patterns and models for all kinds of data. Data mining involves data management, data pre-processing and metrics. The sophisticated mathematical algorithm applies in data mining to segment data and evaluates the probability of a future event. Many research areas a...
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ump-183372018-09-14T03:44:53Z http://umpir.ump.edu.my/id/eprint/18337/ Intuitive Content Management System to Preferences Template Throughout Data Collection by using Data Mining Classification of Prediction Method Chan, Chung Hoong M. A., Ameedeen QA76 Computer software Data mining is a process to analyse patterns and models for all kinds of data. Data mining involves data management, data pre-processing and metrics. The sophisticated mathematical algorithm applies in data mining to segment data and evaluates the probability of a future event. Many research areas are using data mining which is marketing, mathematics, and genetics. Web mining is a type of data mining which using in customer relation management (CRM). According to information provided, this trend has been increasing year by year and very easy to find those organisations which have store terabytes of data in the database. However, tonnes of data in the database is impossible to mine and fully utilise. In order to solve this issue, therefore Intuitive Content Management System (ICMS) need to use data mining classification to stored data classily, accurately while prediction means to be predictable on database user information to give the best preference and suitable template chosen for an end user to select. The time consuming for choosing a template will be decrease as an example of giving user to choose 5 templates out of 100. As a result, it can minimise the workload of choosing template, time consuming and eyes constraint. 2016 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/18337/1/Intuitive%20Content%20Management%20System%20to%20Preferences%20Template%20Throughout%20Data%20Collection%20by%20using%20Data%20Mining%20Classification%20of%20Prediction%20Method.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/18337/2/Intuitive%20Content%20Management%20System%20to%20Preferences%20Template%20Throughout%20Data%20Collection%20by%20using%20Data%20Mining%20Classification%20of%20Prediction%20Method%201.pdf Chan, Chung Hoong and M. A., Ameedeen (2016) Intuitive Content Management System to Preferences Template Throughout Data Collection by using Data Mining Classification of Prediction Method. In: Progress in Computer Sciences and Information Technology International Conference (PROCSIT) , 20 December 2016 , Kedah, Malaysia. pp. 1-4.. (Unpublished) https://procsit.com/ |
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QA76 Computer software Chan, Chung Hoong M. A., Ameedeen Intuitive Content Management System to Preferences Template Throughout Data Collection by using Data Mining Classification of Prediction Method |
description |
Data mining is a process to analyse patterns and models for all kinds of data. Data mining involves data management, data pre-processing and metrics. The sophisticated mathematical algorithm applies in data mining to segment data and evaluates the probability of a future event. Many research areas are using data mining which is marketing, mathematics, and genetics. Web mining is a type of data mining which using in customer relation management (CRM). According to information provided, this trend has been increasing year by year and very easy to find those organisations which have store terabytes of data in the database. However, tonnes of data in the database is impossible to mine and fully utilise. In order to solve this issue, therefore Intuitive Content Management System (ICMS) need to use data mining classification to stored data classily, accurately while prediction means to be predictable on database user information to give the best preference and suitable template chosen for an end user to select. The time consuming for choosing a template will be decrease as an example of giving user to choose 5 templates out of 100. As a result, it can minimise the workload of choosing template, time consuming and eyes constraint. |
format |
Conference or Workshop Item |
author |
Chan, Chung Hoong M. A., Ameedeen |
author_facet |
Chan, Chung Hoong M. A., Ameedeen |
author_sort |
Chan, Chung Hoong |
title |
Intuitive Content Management System to Preferences Template Throughout Data Collection by using Data Mining Classification of Prediction Method |
title_short |
Intuitive Content Management System to Preferences Template Throughout Data Collection by using Data Mining Classification of Prediction Method |
title_full |
Intuitive Content Management System to Preferences Template Throughout Data Collection by using Data Mining Classification of Prediction Method |
title_fullStr |
Intuitive Content Management System to Preferences Template Throughout Data Collection by using Data Mining Classification of Prediction Method |
title_full_unstemmed |
Intuitive Content Management System to Preferences Template Throughout Data Collection by using Data Mining Classification of Prediction Method |
title_sort |
intuitive content management system to preferences template throughout data collection by using data mining classification of prediction method |
publishDate |
2016 |
url |
http://umpir.ump.edu.my/id/eprint/18337/ http://umpir.ump.edu.my/id/eprint/18337/ http://umpir.ump.edu.my/id/eprint/18337/1/Intuitive%20Content%20Management%20System%20to%20Preferences%20Template%20Throughout%20Data%20Collection%20by%20using%20Data%20Mining%20Classification%20of%20Prediction%20Method.pdf http://umpir.ump.edu.my/id/eprint/18337/2/Intuitive%20Content%20Management%20System%20to%20Preferences%20Template%20Throughout%20Data%20Collection%20by%20using%20Data%20Mining%20Classification%20of%20Prediction%20Method%201.pdf |
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2023-09-18T22:25:55Z |
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