Advanced Machine Learning on Cognitive Computing for Human Behavior Analysis
Bibliographic Data
| ID | 22107009 |
|---|---|
| Authors | Zhihan Lv (0000-0003-2525-3074, Qingdao University), Liang Qiao (0000-0002-9731-4166, Qingdao University), Amit Kumar Singh (0000-0002-1975-561X, National Institute of Technology Patna) |
| Year | 2021 |
| Volume | 8 |
| Issue | 5 |
| Pages | 1194-1202 |
| Publication date | 2021-10-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | IEEE Transactions on Computational Social Systems (JOURNAL) |
| Journal identifiers | ISSN: 2329-924X • E-ISSN: 2373-7476 |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) (PUBLISHER) |
| DOI | 10.1109/tcss.2020.3011158 |
| OpenAlex | W3046358311 |
| Language | EN |
| Citations received | 6 |
| References cited | 29 |
With the increasing size of data, massive amounts of data are being generated continuously. It is hoped to find a cognitive computing technology that can effectively learn and process large-scale data. The decision tree algorithm is optimized from the perspective of machine learning. A cognitive computing model based on context-aware data flow is constructed. Classification and regression tree (CART) algorithm is used in the data computing layer of the cognitive model. In addition, the clustering effectiveness index based on frequent patterns optimizes the K-means clustering method. The performance of the algorithm is analyzed through simulation experiments. The results show that the CART algorithm requires fewer training data sets while guaranteeing classification accuracy. Also, the algorithm has obvious advantages under large-scale data. In the application of actual data set, on Over, Over+Noise, and Bridge, only the clustering validity index based on frequent pattern (FPCVI) index proposed finds the correct number of clusters. The application of DPCK-K-means clustering algorithm can ensure the accuracy and stability of behavior classification, which is greatly significant for operators to analyze user behavior and develop personalized services
Cluster analysis · Data mining · Decision tree · Machine learning · Artificial Intelligence in Healthcare · Cognitive Computing and Networks · Computer Science · Data Mining Algorithms and Applications · Mathematics · Artificial Intelligence
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| Unique citing works | 6 |
|---|---|
| Citations per year | 1.5 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 6 |