Heterogenetic knowledge classification Using Fuzzy inference for unified data clusters
Emerging technologies such as Cloud Computing, Internet of Things (IoT) and Big Data are developing a digital ecosystem. This ecosystem is catering diverse types and volumes of data that represents information segments. The essence of these segments become vital when transformed into knowledge units...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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European Alliance for Innovation (EAI)
2020-01-01
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| Series: | EAI Endorsed Transactions on Scalable Information Systems |
| Subjects: | |
| Online Access: | https://eudl.eu/pdf/10.4108/eai.13-7-2018.160072 |
| _version_ | 1818016625132044288 |
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| author | Umer Farooq Khalil Ahmad |
| author_facet | Umer Farooq Khalil Ahmad |
| author_sort | Umer Farooq |
| collection | DOAJ |
| description | Emerging technologies such as Cloud Computing, Internet of Things (IoT) and Big Data are developing a digital ecosystem. This ecosystem is catering diverse types and volumes of data that represents information segments. The essence of these segments become vital when transformed into knowledge units to provide a more meaningful and productive perspective. The transformed knowledge at this stage is heterogenetic in nature, consisting of functional and structural properties which needs to be arranged to formulate robust and efficient knowledge repositories. The heterogenetic knowledge can be transformed into classification clusters using structural properties by controlling thedegree of heterogeneity. In this paper, Fuzzy Inference System (FIS) based classification approach is proposed for heterogenetic knowledge clustering. |
| first_indexed | 2024-04-14T07:16:21Z |
| format | Article |
| id | doaj.art-d8f2b5e530f3475994f6ff7645abc179 |
| institution | Directory Open Access Journal |
| issn | 2032-9407 |
| language | English |
| last_indexed | 2024-04-14T07:16:21Z |
| publishDate | 2020-01-01 |
| publisher | European Alliance for Innovation (EAI) |
| record_format | Article |
| series | EAI Endorsed Transactions on Scalable Information Systems |
| spelling | doaj.art-d8f2b5e530f3475994f6ff7645abc1792022-12-22T02:06:18ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Scalable Information Systems2032-94072020-01-0172410.4108/eai.13-7-2018.160072Heterogenetic knowledge classification Using Fuzzy inference for unified data clustersUmer Farooq0Khalil Ahmad1National College of Business Administration & Economics, Lahore, PakistanDepartment of Computer Science, Lahore Garrison University, Lahore, PakistanNational College of Business Administration & Economics, Lahore, PakistanDelta3T, Lahore, PakistanEmerging technologies such as Cloud Computing, Internet of Things (IoT) and Big Data are developing a digital ecosystem. This ecosystem is catering diverse types and volumes of data that represents information segments. The essence of these segments become vital when transformed into knowledge units to provide a more meaningful and productive perspective. The transformed knowledge at this stage is heterogenetic in nature, consisting of functional and structural properties which needs to be arranged to formulate robust and efficient knowledge repositories. The heterogenetic knowledge can be transformed into classification clusters using structural properties by controlling thedegree of heterogeneity. In this paper, Fuzzy Inference System (FIS) based classification approach is proposed for heterogenetic knowledge clustering.https://eudl.eu/pdf/10.4108/eai.13-7-2018.160072gpsiotfisknowledge heterogeneityknowledge system |
| spellingShingle | Umer Farooq Khalil Ahmad Heterogenetic knowledge classification Using Fuzzy inference for unified data clusters EAI Endorsed Transactions on Scalable Information Systems gps iot fis knowledge heterogeneity knowledge system |
| title | Heterogenetic knowledge classification Using Fuzzy inference for unified data clusters |
| title_full | Heterogenetic knowledge classification Using Fuzzy inference for unified data clusters |
| title_fullStr | Heterogenetic knowledge classification Using Fuzzy inference for unified data clusters |
| title_full_unstemmed | Heterogenetic knowledge classification Using Fuzzy inference for unified data clusters |
| title_short | Heterogenetic knowledge classification Using Fuzzy inference for unified data clusters |
| title_sort | heterogenetic knowledge classification using fuzzy inference for unified data clusters |
| topic | gps iot fis knowledge heterogeneity knowledge system |
| url | https://eudl.eu/pdf/10.4108/eai.13-7-2018.160072 |
| work_keys_str_mv | AT umerfarooq heterogeneticknowledgeclassificationusingfuzzyinferenceforunifieddataclusters AT khalilahmad heterogeneticknowledgeclassificationusingfuzzyinferenceforunifieddataclusters |