상세정보
Export to Refworks부가기능
Social media analytics for user behavior modeling a task heterogeneity perspective
상세 프로파일
| 자료유형 | 단행본 |
|---|---|
| 서명/저자사항 | Social media analytics for user behavior modeling : a task heterogeneity perspective/ Arun Reddy Nelakurthi, Jingrui He. |
| 개인저자 | Nelakurthi, Arun Reddy,author. He, Jingrui,author, |
| 형태사항 | 1 online resource (xv, 97 pages): illustrations. |
| 총서사항 | Data-enabled engineering |
| 기타형태 저록 | Print version: 9781000025408 Print version: 0367211580 9780367211585 |
| ISBN | 9781000025408 1000025403 9781000025361 1000025365 9780429270352 0429270356 |
| 기타표준부호 | 10.1201/9780429270352doi |
| 서지주기 | Includes bibliographical references and index. |
| 요약 | In recent years social media has gained significant popularity and has become an essential medium of communication. Such user-generated content provides an excellent scenario for applying the metaphor of mining any information. Transfer learning is a research problem in machine learning that focuses on leveraging the knowledge gained while solving one problem and applying it to a different, but related problem. Features: Offers novel frameworks to study user behavior and for addressing and explaining task heterogeneity Presents a detailed study of existing research Provides convergence and complexity analysis of the frameworks Includes algorithms to implement the proposed research work Covers extensive empirical analysis Social Media Analytics for User Behavior Modeling: A Task Heterogeneity Perspective is a guide to user behavior modeling in heterogeneous settings and is of great use to the machine learning community. |
| 일반주제명 | Machine learning. Data mining. Social media. Social networks. COMPUTERS --Computer Vision & Pattern Recognition. COMPUTERS --Data Processing --General. COMPUTERS --Database Management --Data Mining. Data mining. Machine learning. Social media. Social networks. |
| 언어 | 영어 |
| 바로가기 |  |
