Knowledge discovery in unstructured, big data
Knowledge may be discovered from various sources of information. Knowledge Discovery in Database (KDD) is the process of discovering valuable knowledge from data collection. Data warehousing, traditional data processing and analysis of structured data through the Relationship Database Management Sys...
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2014
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my.upm.eprints.392442018-10-23T01:48:42Z http://psasir.upm.edu.my/id/eprint/39244/ Knowledge discovery in unstructured, big data Abu Muntalib, Shamsiah Sidi, Fatimah A. Jabar, Marzanah Ishak, Iskandar Knowledge may be discovered from various sources of information. Knowledge Discovery in Database (KDD) is the process of discovering valuable knowledge from data collection. Data warehousing, traditional data processing and analysis of structured data through the Relationship Database Management System (RDBMS) is access to a standard IT technology. However, RDBMS cannot satisfy the challenges of Big Data. The current biggest challenge is a matter of turning Big Data into Knowledge Discovery insight that enable organizations to facilitate effective decision making. The purpose of this paper is to explore techniques in knowledge discovery and the challenges in Big Data real-time setting. A technique of knowledge discovery in real-time insight will be proposed in order to extract valuable knowledge. 2014 Conference or Workshop Item NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/39244/1/39244.pdf Abu Muntalib, Shamsiah and Sidi, Fatimah and A. Jabar, Marzanah and Ishak, Iskandar (2014) Knowledge discovery in unstructured, big data. In: Malaysian National Conference of Databases 2014 (MaNCoD 2014), 17 Sept. 2014, Universiti Putra Malaysia, Serdang, Selangor. (pp. 50-54). http://mancod2014.blogspot.my/p/proceedings.html |
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Knowledge may be discovered from various sources of information. Knowledge Discovery in Database (KDD) is the process of discovering valuable knowledge from data collection. Data warehousing, traditional data processing and analysis of structured data through the Relationship Database Management System (RDBMS) is access to a standard IT technology. However, RDBMS cannot satisfy the challenges of Big Data. The current biggest challenge is a matter of turning Big Data into Knowledge Discovery insight that enable organizations to facilitate effective decision making. The purpose of this paper is to explore techniques in knowledge discovery and the challenges in Big Data real-time setting. A technique of knowledge discovery in real-time insight will be proposed in order to extract valuable knowledge. |
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Conference or Workshop Item |
author |
Abu Muntalib, Shamsiah Sidi, Fatimah A. Jabar, Marzanah Ishak, Iskandar |
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Abu Muntalib, Shamsiah Sidi, Fatimah A. Jabar, Marzanah Ishak, Iskandar Knowledge discovery in unstructured, big data |
author_facet |
Abu Muntalib, Shamsiah Sidi, Fatimah A. Jabar, Marzanah Ishak, Iskandar |
author_sort |
Abu Muntalib, Shamsiah |
title |
Knowledge discovery in unstructured, big data |
title_short |
Knowledge discovery in unstructured, big data |
title_full |
Knowledge discovery in unstructured, big data |
title_fullStr |
Knowledge discovery in unstructured, big data |
title_full_unstemmed |
Knowledge discovery in unstructured, big data |
title_sort |
knowledge discovery in unstructured, big data |
publishDate |
2014 |
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http://psasir.upm.edu.my/id/eprint/39244/1/39244.pdf http://psasir.upm.edu.my/id/eprint/39244/ http://mancod2014.blogspot.my/p/proceedings.html |
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