The complexity of extracting knowledge in Big Data / Rozianiwati Yusof...[et al.]
Big data is extremely large data set data in the range of exabytes and the volume of data cannot be processed efficiently with the traditional technology in term of storing, manage and process. With the technologies appear, big data has attracted many researchers to extract knowledge from it. The kn...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Unit Penerbitan UiTM Kelantan
2016
|
| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/29584/ |
| _version_ | 1848807273300754432 |
|---|---|
| author | Yusof, Rozianiwati Manaf, Maznie Mohd Zin, Nor Asma Jamaludin, Marhainis |
| author_facet | Yusof, Rozianiwati Manaf, Maznie Mohd Zin, Nor Asma Jamaludin, Marhainis |
| author_sort | Yusof, Rozianiwati |
| building | UiTM Institutional Repository |
| collection | Online Access |
| description | Big data is extremely large data set data in the range of exabytes and the volume of data cannot be processed efficiently with the traditional technology in term of storing, manage and process. With the technologies appear, big data has attracted many researchers to extract knowledge from it. The knowledge can be produced in making a decision. However, there are some issues existed in extracting the important knowledge such as in storing the data, managing the data and processing the data in extracting useful information since its relate with volume, velocity and variety. Therefore, this paper is attempting to list all the possible knowledge that can be extracted from big data as well as discuss the previous researches in knowledge extraction from the huge amount of data. The problem in extracting importantknowledge will be examined thoroughly and by identifying the significant problems in knowledge extraction the best knowledge from big data could be revealed. The techniques in analysing big data will be also discussed in the next section |
| first_indexed | 2025-11-14T22:40:12Z |
| format | Article |
| id | uitm-29584 |
| institution | Universiti Teknologi MARA |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T22:40:12Z |
| publishDate | 2016 |
| publisher | Unit Penerbitan UiTM Kelantan |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uitm-295842020-04-09T04:13:09Z https://ir.uitm.edu.my/id/eprint/29584/ The complexity of extracting knowledge in Big Data / Rozianiwati Yusof...[et al.] jmcs Yusof, Rozianiwati Manaf, Maznie Mohd Zin, Nor Asma Jamaludin, Marhainis Data processing Electronic Computers. Computer Science Algorithms Data mining Big data is extremely large data set data in the range of exabytes and the volume of data cannot be processed efficiently with the traditional technology in term of storing, manage and process. With the technologies appear, big data has attracted many researchers to extract knowledge from it. The knowledge can be produced in making a decision. However, there are some issues existed in extracting the important knowledge such as in storing the data, managing the data and processing the data in extracting useful information since its relate with volume, velocity and variety. Therefore, this paper is attempting to list all the possible knowledge that can be extracted from big data as well as discuss the previous researches in knowledge extraction from the huge amount of data. The problem in extracting importantknowledge will be examined thoroughly and by identifying the significant problems in knowledge extraction the best knowledge from big data could be revealed. The techniques in analysing big data will be also discussed in the next section Unit Penerbitan UiTM Kelantan 2016-06 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/29584/1/29584.pdf Yusof, Rozianiwati and Manaf, Maznie and Mohd Zin, Nor Asma and Jamaludin, Marhainis (2016) The complexity of extracting knowledge in Big Data / Rozianiwati Yusof...[et al.]. (2016) Journal of Mathematics and Computing Science (JMCS) <https://ir.uitm.edu.my/view/publication/Journal_of_Mathematics_and_Computing_Science_=28JMCS=29.html>, 1 (1). pp. 12-18. ISSN 0128-0767 https://jmcs.com.my/ |
| spellingShingle | Data processing Electronic Computers. Computer Science Algorithms Data mining Yusof, Rozianiwati Manaf, Maznie Mohd Zin, Nor Asma Jamaludin, Marhainis The complexity of extracting knowledge in Big Data / Rozianiwati Yusof...[et al.] |
| title | The complexity of extracting knowledge in Big Data / Rozianiwati Yusof...[et al.] |
| title_full | The complexity of extracting knowledge in Big Data / Rozianiwati Yusof...[et al.] |
| title_fullStr | The complexity of extracting knowledge in Big Data / Rozianiwati Yusof...[et al.] |
| title_full_unstemmed | The complexity of extracting knowledge in Big Data / Rozianiwati Yusof...[et al.] |
| title_short | The complexity of extracting knowledge in Big Data / Rozianiwati Yusof...[et al.] |
| title_sort | complexity of extracting knowledge in big data / rozianiwati yusof...[et al.] |
| topic | Data processing Electronic Computers. Computer Science Algorithms Data mining |
| url | https://ir.uitm.edu.my/id/eprint/29584/ https://ir.uitm.edu.my/id/eprint/29584/ |