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Context-Aware Personal Information Retrieval From 18-Multiple Social Networks
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| Pengarang | : | - |
| Nama Majalah/Jurnal | : | IEEE Computational intelligence |
| Volume / Edisi | : | 9 (No. 2) |
| Halaman | : | 18-28 |
| Abstrak | : | People use a variety of social networking services to collect and organize web information for future reuse. When such contents are actually needed as reference to reply a post in an online conversation, however, the user may not be able to retrieve them with proper cues or may even forget their existence at all. In this paper, we study this problem in the online conversation context and investigate how to automatically retrieve the most context-relevant previously-seen web information without user intervention.We propose a Context-aware Personal Information Retrieval (CPIR) algorithm, which considers both the participatory and implicit-topical properties of the context to improve the retrieval performance. Since both the context and the user's web information are usually short and ambiguous, the participatory context is utilized to formulate and expand the query. Moreover, the implicit-topical context is exploited to implicitly determine the importance of each web information of the targeting user in the given context. The experimental results using real-world dataset demonstrate that CPIR can achieve significant improvements over several baselines |
Special Issue on Computational Intelligence for Community-Centric Systems
| Pengarang | : | - |
| Nama Majalah/Jurnal | : | IEEE Computational intelligence |
| Volume / Edisi | : | 9 (No. 2) |
| Halaman | : | 15-17 |
| Abstrak | : | - |
CIS Publication Spotlight
| Pengarang | : | - |
| Nama Majalah/Jurnal | : | IEEE Computational intelligence |
| Volume / Edisi | : | 9 (No. 2) |
| Halaman | : | 13-14 |
| Abstrak | : | - |
A Chaotic Theoretical Approach to ECG-Based Identity Recognition
| Pengarang | : | - |
| Nama Majalah/Jurnal | : | IEEE Computational intelligence |
| Volume / Edisi | : | 9 (No. 1) |
| Halaman | : | 53-63 |
| Abstrak | : | - |
On Solving WCDMA Network Planning Using Iterative Power Control Scheme and Evolutionary Multiobjective Algorithm
| Pengarang | : | Hai-Lin Liu,Fangqing Gu,Yiu-Ming Cheung,Shengli Xie,Jun Zhang |
| Nama Majalah/Jurnal | : | IEEE Computational intelligence |
| Volume / Edisi | : | 9 (No. 1) |
| Halaman | : | 44-52 |
| Abstrak | : | - |
A Probabilistic Generative Model for Mining Cybercriminal Networks from Online Social Media
| Pengarang | : | Xia, Yunqing,Lau, Raymond Y.K. ,Ye, Yunming |
| Nama Majalah/Jurnal | : | IEEE Computational intelligence |
| Volume / Edisi | : | 9 (No. 1) |
| Halaman | : | 31-43 |
| Abstrak | : | There has been a rapid growth in the number of cybercrimes that cause tremendous financial loss to organizations. Recent studies reveal that cybercriminals tend to collaborate or even transact cyber-attack tools via the "dark markets" established in online social media. Accordingly, it presents unprecedented opportunities for researchers to tap into these underground cybercriminal communities to develop better insights about collaborative cybercrime activities so as to combat the ever increasing number of cybercrimes. The main contribution of this paper is the development of a novel weakly supervised cybercriminal network mining method to facilitate cybercrime forensics. In particular, the proposed method is underpinned by a probabilistic generative model enhanced by a novel context-sensitive Gibbs sampling algorithm. Evaluated based on two social media corpora, our experimental results reveal that the proposed method significantly outperforms the Latent Dirichlet Allocation (LDA) based method and the Support Vector Machine (SVM) based method by 5.23% and 16.62% in terms of Area Under the ROC Curve (AUC), respectively. It also achieves comparable performance as the state-of-the-art Partially Labeled Dirichlet Allocation (PLDA) method. To the best of our knowledge, this is the first successful research of applying a probabilistic generative model to mine cybercriminal networks from online social media. |
Frame-Based Detection of Opinion Holders and Topics: A Model and a Tool
| Pengarang | : | - |
| Nama Majalah/Jurnal | : | IEEE Computational intelligence |
| Volume / Edisi | : | 9 (No. 1) |
| Halaman | : | 20-30 |
| Abstrak | : | Abstrak tidak tersedia. |
Computational Intelligence for Natural Language Processing
| Pengarang | : | - |
| Nama Majalah/Jurnal | : | IEEE Computational intelligence |
| Volume / Edisi | : | 9 (No. 1) |
| Halaman | : | 19 |
| Abstrak | : | - |
A Report on Fuzz-IEEE 2013
| Pengarang | : | - |
| Nama Majalah/Jurnal | : | IEEE Computational intelligence |
| Volume / Edisi | : | 9 (No. 1) |
| Halaman | : | 17-18 |
| Abstrak | : | - |
CIS Publication Spotlight
| Pengarang | : | Hadi Soesastro |
| Nama Majalah/Jurnal | : | IEEE Computational intelligence |
| Volume / Edisi | : | 9 (No. 1) |
| Halaman | : | 15-16 |
| Abstrak | : | - |