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 Raymondyiu Lau

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Average citations per article3.82
Citation Count65
Publication count17
Publication years2008-2017
Available for download2
Average downloads per article88.00
Downloads (cumulative)176
Downloads (12 Months)171
Downloads (6 Weeks)74
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17 results found Export Results: bibtexendnoteacmrefcsv

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1 published by ACM
August 2017 ACM Transactions on Intelligent Systems and Technology (TIST) - Regular Papers and Special Issue: Data-driven Intelligence for Wireless Networking: Volume 9 Issue 1, October 2017
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 74,   Downloads (12 Months): 168,   Downloads (Overall): 168

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Topic modelling methods such as Latent Dirichlet Allocation (LDA) have been successfully applied to various fields, since these methods can effectively characterize document collections by using a mixture of semantically rich topics. So far, many models have been proposed. However, the existing models typically outperform on full analysis on the ...
Keywords: information filtering, topic components, Topic selection, topic evaluation

2
April 2017 Knowledge-Based Systems: Volume 121 Issue C, April 2017
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 0

Topic models, such as probabilistic latent semantic analysis (PLSA) and latent Dirichlet allocation (LDA), have shown impressive success in many fields. Recently, multi-view learning via probabilistic latent semantic analysis (MVPLSA), is also designed for multi-view topic modeling. These approaches are instances of generative model, whereas they all ignore the manifold ...
Keywords: Manifold learning, Generative model, Multi-view learning

3
March 2017 Electronic Commerce Research: Volume 17 Issue 1, March 2017
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 0

With the rise of social web, there has also been a great concern about the quality of user-generated content on social media sites (SMSs). Deceptive comments harm users' trust in online social media and cause financial loss to firms. Previous studies use various features and classification algorithms to detect and ...
Keywords: Incremental learning, Machine learning, Topic modeling, Social spam, Big data, Spam detection

4
November 2016 Information Sciences: an International Journal: Volume 367 Issue C, November 2016
Publisher: Elsevier Science Inc.
Bibliometrics:
Citation Count: 0

Existing clustering algorithms are weak in extracting smooth subspaces for clustering time series data. In this paper, we propose a new k-means type smooth subspace clustering algorithm named Time Series k-means (TSkmeans) for clustering time series data. The proposed TSkmeans algorithm can effectively exploit inherent subspace information of a time ...
Keywords: Data mining, Time series, Feature selection, Subspace clustering, k-means clustering

5
October 2016 Neurocomputing: Volume 208 Issue C, October 2016
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 0

With the explosive growth of user-generated multimedia resources in the big data era (e.g., video, audio, text or even their combinations), bridging the semantic gap between low-level features and high-level semantics in multiple modes of data is a critical and indispensable issue. In this paper, we exploit a popular type ...
Keywords: Ontology generation, Context, Semantic gap, Basic level concept, Collaborative tags

6
August 2016 Information Sciences: an International Journal: Volume 357 Issue C, August 2016
Publisher: Elsevier Science Inc.
Bibliometrics:
Citation Count: 1

Textual stream mining with the presence of concept drift is a very challenging research problem. Under a realistic textual stream environment, it often involves a large number of instances characterized by a high-dimensional feature space. Accordingly, it is computationally complex to detect concept drift. In this paper, we present a ...
Keywords: Concept drift, Textual stream, Clustering tree, Ensemble learning

7
January 2016 IEEE MultiMedia: Volume 23 Issue 1, January 2016
Publisher: IEEE Computer Society Press
Bibliometrics:
Citation Count: 1

Compared to intentional word learning, incidental word learning better motivates learners, integrates development of more language skills, and provides richer contexts. The effectiveness of incidental word learning tasks can also be increased by employing materials that learners are more familiar with or interested in. Here, the authors present a framework ...

8
January 2016 Information Processing and Management: an International Journal: Volume 52 Issue 1, January 2016
Publisher: Pergamon Press, Inc.
Bibliometrics:
Citation Count: 10

We present a framework SenticRank to incorporate sentiment for personalized search.Content-based and collaborative sentiment ranking methods are proposed.We compare the proposed sentiment-based search with baselines experimentally.We study the influence of sentiment corpora by using some sentiment dictionaries.Sentiment-based information can significantly improve performance in folksonomy. In recent years, there has been ...
Keywords: User profiling, Personalized search, Social media, Folksonomy, Sentiment

9
December 2015 Scientometrics: Volume 105 Issue 3, December 2015
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 1

Science classification schemes (SCSs) are built to categorize scientific resources (e.g. research publications and research projects) into disciplines for effective research analytics and management. With the explosive growth of the number of scientific resources in distributed research institutions in recent years, effectively mapping different SCSs, especially heterogeneous SCSs that categorize ...
Keywords: Multi-faceted mapping, Semantic analysis, Research management, Science classification scheme (SCS)

10
November 2015 Revised Selected Papers of the ICWL 2015 International Workshops on Current Developments in Web Based Learning - Volume 9584
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 0

With the development of e-commerce, e-commerce websites become very popular. People write reviews on products and rate the helpfulness of reviews in these websites. Reviews written by a user and reviews rated by a user actually reflect a user's interests and disinterest. Thus, they are very useful for user profiling. ...
Keywords: Personalized search, Review, User profiling

11
February 2014 IEEE Computational Intelligence Magazine: Volume 9 Issue 1, February 2014
Publisher: IEEE Press
Bibliometrics:
Citation Count: 8

Abstract-There has been a rapid growth in the number of cybercr imes 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 ...

12
July 2012 Electronic Commerce Research and Applications: Volume 11 Issue 4, July, 2012
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 7

With the tremendous popularity of social networking sites in this era of Web 2.0, increasingly more users are contributing their comments and opinions about products, people, organizations, and many other entities. These online comments often have direct influence on consumers' buying decisions and the public's impressions of enterprises. As a ...
Keywords: Joint influential power, Social network mining, e-Commerce, Targeted marketing, Web mining

13
May 2012 PAKDD'12: Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 0

The development of text classification techniques has been largely promoted in the past decade due to the increasing availability and widespread use of digital documents. Usually, the performance of text classification relies on the quality of categories and the accuracy of classifiers learned from samples. When training samples are unavailable ...

14
August 2010 WI-IAT '10: Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 1

Intelligent agents are an advanced technology utilized in Web Intelligence. When searching information from a distributed Web environment, information is retrieved by multi-agents on the client site and fused on the broker site. The current information fusion techniques rely on cooperation of agents to provide statistics. Such techniques are computationally ...
Keywords: Distributed Information Gathering, Information Fusion, Ontology, Multi-agents, specificity and exhaustivity

15
May 2010 IEEE Internet Computing: Volume 14 Issue 3, May 2010
Publisher: IEEE Educational Activities Department
Bibliometrics:
Citation Count: 1

Podcasting has the potential to enhance learning by giving students mobile access to course materials anytime, anywhere. In particular, integrating podcasting, electronic learning (e-learning), and traditional face-to-face teaching into a blended learning (b-learning) environment can help create a push-pull educational exchange that increases student learning satisfaction. The authors' empirical study ...
Keywords: computer science education, podcasting, social technologies, blended learning, computer science education, information systems education, social technologies, information systems education, blended learning, podcasting

16
June 2009 IEEE Transactions on Knowledge and Data Engineering: Volume 21 Issue 6, June 2009
Publisher: IEEE Educational Activities Department
Bibliometrics:
Citation Count: 30

With the widespread applications of electronic learning (e-Learning) technologies to education at all levels, increasing number of online educational resources and messages are generated from the corresponding e-Learning environments. Nevertheless, it is quite difficult, if not totally impossible, for instructors to read through and analyze the online messages to predict ...
Keywords: ontology extraction, text mining, Knowledge management applications, Linguistic processing, Text mining, textual and multimedia data, Modeling structured, concept map, e-Learning., Domain ontology, Domain ontology, ontology extraction, text mining, fuzzy sets, concept map, e-Learning., fuzzy sets

17
December 2008 WI-IAT '08: Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 2,   Downloads (Overall): 6

Full text available: PDFPDF
The recent growing interests in Semantic Web trigger the requirements of annotating various information objects (e.g., documents) on the Web. The main drawback of the existing methods is that they usually require many manually annotated training examples as inputs. This paper proposes a SVM-struct based active learning algorithm for automatic ...



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