Publication statistics

Pub. period:1999-2012
Pub. count:5
Number of co-authors:10


Number of publications with 3 favourite co-authors:

Tharam S. Dillon:
Shoubin Kong:
Guozheng Sun:



Productive colleagues

Ling Feng's 3 most productive colleagues in number of publications:

Jiawei Han:39
Elizabeth Chang:16
Tharam S. Dillon:13

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Ling Feng


Publications by Ling Feng (bibliography)

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Kong, Shoubin, Feng, Ling, Sun, Guozheng and Luo, Kan (2012): Predicting lifespans of popular tweets in microblog. In: Proceedings of the 35th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2012. pp. 1129-1130.

In microblog like Twitter, popular tweets are usually retweeted by many users. For different tweets, their lifespans (i.e., how long they will stay popular) vary. This paper presents a simple yet effective approach to predict the lifespans of popular tweets based on their static characteristics and dynamic retweeting patterns. For a potentially popular tweet, we generate a time series based on its first-hour retweeting information, and compare it with those of historic tweets of the same author and post time (at the granularity of hour). The top-k historic tweets are identified, whose mean lifespan is estimated as the lifespan of the new tweet. Our experiments on a three-month real data set from Tencent Microblog demonstrate the effectiveness of the approach.

© All rights reserved Kong et al. and/or ACM Press

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Rajugan, Rajagopal, Dillon, Tharam S., Chang, Elizabeth and Feng, Ling (2005): XML Views, Part III: An UML Based Design Methodology for XML Views. In: Chen, Chin-Sheng, Filipe, Joaquim, Seruca, Isabel and Cordeiro, Jos (eds.) ICEIS 2005 - Proceedings of the Seventh International Conference on Enterprise Information Systems May 25-28, 2005, Miami, USA. pp. 19-28.

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Feng, Ling, Chang, Elizabeth and Dillon, Tharam (2002): A semantic network-based design methodology for XML documents. In ACM Transactions on Information Systems, 20 (4) pp. 390-421.

The eXtensible Markup Language (XML) is fast emerging as the dominant standard for describing and interchanging data among various systems and databases on the Internet. It offers the Document Type Definition (DTD) as a formalism for defining the syntax and structure of XML documents. The XML Schema definition language, as a replacement for the DTD, provides more rich facilities for defining and constraining the content of XML documents. However, it does not concentrate on the semantics that underlies these documents, representing a logical data model rather than a conceptual model. To enable efficient business application development in large-scale electronic commerce environments, it is necessary to describe and model real-world data semantics and their complex interrelationships. In this article, we describe a design methodology for XML documents. The aim is to enforce XML conceptual modeling power and bridge the gap between software development and XML document structures. The proposed methodology is comprised of two design levels: the semantic level and the schema level. The first level is based on a semantic network, which provides semantic modeling of XML through four major components: a set of atomic and complex nodes, representing real-world objects; a set of directed edges, representing semantic relationships between the objects; a set of labels denoting different types of semantic relationships, including aggregation, generalization, association, and of-property relationships; and finally a set of constraints defined over nodes and edges to constrain semantic relationships and object domains. The other level of the proposed methodology is concerned with detailed XML schema design, including element/attribute declarations and simple/complex type definitions. The mapping between the two design levels is proposed to transform the XML semantic model into the XML Schema, based on which XML documents can be systematically created, managed, and validated.

© All rights reserved Feng et al. and/or ACM Press

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Lu, Hongjun, Feng, Ling and Han, Jiawei (2000): Beyond intratransaction association analysis: mining multidimensional intertransaction association rules. In ACM Transactions on Information Systems, 18 (4) pp. 423-454.

In this paper, we extend the scope of mining association rules from traditional single-dimensional intratransaction associations, to multidimensional intertransaction associations. Intratransaction associations are the associations among items with the same transaction, where the notion of the transaction could be the items bought by the same customer, the events happened on the same day, and so on. However, an intertransaction association describes the association relationships among different transactions, such as "if(company) A's stock goes up on day 1, B's stock will go down on day 2, but go up on day 4." In this case, whether we treat company or day as the unit of transaction, the associated items belong to different transactions. Moreover, such an intertransaction association can be extended to associate multiple contextual properties in the same rule, so that multidimensional intertransaction associations can be defined and discovered. A two-dimensional intertransaction association rule example is "After McDonald and Burger King open branches, KFC will open a branch two months later and one mile away," which involves two dimensions: time and space. Mining intertransaction associations poses more challenges on efficient processing than mining intratransaction associations. Interestingly, intratransaction association can be treated as a special case of intertransaction association from both a conceptual and algorithmic point of view. In this study, we introduce the notion of multidimensional intertransaction association rules, study their measurements -- support and confidence -- and develop algorithms for mining intertransaction associations by extension of Apriori. We overview our experience using the algorithms on both real-life and synthetic data sets. Further extensions of multidimensional intertransaction association rules and potential applications are also discussed.

© All rights reserved Lu et al. and/or ACM Press

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Feng, Ling, Lu, Hongjun, Yu, Jeffrey Xu and Han, Jiawei (1999): Mining Inter-Transaction Associations with Templates. In: Proceedings of the 1999 ACM CIKM International Conference on Information and Knowledge Management November 2-6, 1999, Kansas City, Missouri, USA. pp. 225-233.

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