A Novel Approach of Adpative Window 2 Technique and Kalman Filter- �KalADWIN2� for Detection of Concept Drift
A recommendation engine (RE) is a machine learning technique that provides personalized recommendations and anticipates a user's future preference for a collection of goods or services. In Online Supervised Learning (OSL) settings like various REs, where data vary over time, Concept Drift (CD)...
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Springer Science and Business Media Deutschland GmbH
2024
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oai:scholars.utp.edu.my:381062023-12-11T03:21:44Z http://scholars.utp.edu.my/id/eprint/38106/ A Novel Approach of Adpative Window 2 Technique and Kalman Filter- â��KalADWIN2â�� for Detection of Concept Drift Chaudhari, A. A.A, H.S. Raut, R. Sarlan, A. A recommendation engine (RE) is a machine learning technique that provides personalized recommendations and anticipates a user's future preference for a collection of goods or services. In Online Supervised Learning (OSL) settings like various REs, where data vary over time, Concept Drift (CD) issue usually occurs. There are many CD Detectors in the literature work but the most preferred choice for the non-stationary, dynamic and streaming data is the supervised technique- Adaptive Window (ADWIN) approach. The paper aims towards the limitations of the ADWIN approach, where ADWIN2 approach is more time &memory efficient than ADWIN. The paper also focusses on novel proposed technique of the combination of Kalman Filter and ADWIN2 approach, named-â��KalADWIN2â��, as itâ��s the best estimator for detection even in noisy environment. It ultimately helps in fast CD detection in REs. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Springer Science and Business Media Deutschland GmbH 2024 Article NonPeerReviewed Chaudhari, A. and A.A, H.S. and Raut, R. and Sarlan, A. (2024) A Novel Approach of Adpative Window 2 Technique and Kalman Filter- â��KalADWIN2â�� for Detection of Concept Drift. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14322. pp. 453-467. ISSN 03029743 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175992673&doi=10.1007%2f978-981-99-7339-2_38&partnerID=40&md5=a102fbe24e832ced9f562291f9b42215 10.1007/978-981-99-7339-2₃₈ 10.1007/978-981-99-7339-2₃₈ |
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A recommendation engine (RE) is a machine learning technique that provides personalized recommendations and anticipates a user's future preference for a collection of goods or services. In Online Supervised Learning (OSL) settings like various REs, where data vary over time, Concept Drift (CD) issue usually occurs. There are many CD Detectors in the literature work but the most preferred choice for the non-stationary, dynamic and streaming data is the supervised technique- Adaptive Window (ADWIN) approach. The paper aims towards the limitations of the ADWIN approach, where ADWIN2 approach is more time &memory efficient than ADWIN. The paper also focusses on novel proposed technique of the combination of Kalman Filter and ADWIN2 approach, named-�KalADWIN2�, as it�s the best estimator for detection even in noisy environment. It ultimately helps in fast CD detection in REs. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. |
| format |
Article |
| author |
Chaudhari, A. A.A, H.S. Raut, R. Sarlan, A. |
| spellingShingle |
Chaudhari, A. A.A, H.S. Raut, R. Sarlan, A. A Novel Approach of Adpative Window 2 Technique and Kalman Filter- �KalADWIN2� for Detection of Concept Drift |
| author_facet |
Chaudhari, A. A.A, H.S. Raut, R. Sarlan, A. |
| author_sort |
Chaudhari, A. |
| title |
A Novel Approach of Adpative Window 2 Technique and Kalman Filter- �KalADWIN2� for Detection of Concept Drift |
| title_short |
A Novel Approach of Adpative Window 2 Technique and Kalman Filter- �KalADWIN2� for Detection of Concept Drift |
| title_full |
A Novel Approach of Adpative Window 2 Technique and Kalman Filter- �KalADWIN2� for Detection of Concept Drift |
| title_fullStr |
A Novel Approach of Adpative Window 2 Technique and Kalman Filter- �KalADWIN2� for Detection of Concept Drift |
| title_full_unstemmed |
A Novel Approach of Adpative Window 2 Technique and Kalman Filter- �KalADWIN2� for Detection of Concept Drift |
| title_sort |
novel approach of adpative window 2 technique and kalman filter- �kaladwin2� for detection of concept drift |
| publisher |
Springer Science and Business Media Deutschland GmbH |
| publishDate |
2024 |
| url |
http://scholars.utp.edu.my/id/eprint/38106/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175992673&doi=10.1007%2f978-981-99-7339-2_38&partnerID=40&md5=a102fbe24e832ced9f562291f9b42215 |
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1787138267882192896 |
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