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  • Li, X; Zhang, L; Chen, E; Zong, Y; Xu, G (Springer Berlin / Heidelberg, 2013-01)
    It is common today for users to print the informative information from webpages due to the popularity of printers and internet. Thus, many web printing tools such as Smart Print and PrintUI are developed for online printing. ...
  • Li, X; Zhang, L; Chen, E; Zong, Y; Xu, G (Springer Berlin / Heidelberg, 2013-01)
    It is common today for users to print the informative information from webpages due to the popularity of printers and internet. Thus, many web printing tools such as Smart Print and PrintUI are developed for online printing. ...
  • Wan, L; Chen, L; Zhang, C (2013)
    Data uncertainty has posed many unique challenges to nearly all types of data mining tasks, creating a need for uncertain data mining. In this paper, we focus on the particular task of mining probabilistic frequent serial ...
  • Xu, G; Zhang, Y; Begg, R (Springer-verlag Berlin, 2006-01)
    Scientific gait (walking) analysis provides valuable information about an individual's locomotion function, in turn, to assist clinical diagnosis and prevention, such as assessing treatment for patients with impaired ...
  • Xu, G; Zhang, Y; Begg, RK (Springer Berlin / Heidelberg, 2006-01)
  • Zhang, S; You, X; Jin, Z; Wu, X (2009-10)
    When extracting knowledge (or patterns) from multiple databases, the data from different databases might be too large in volume to be merged into one database for centralized mining on one computer, the local information ...
  • Cao, L; Zhao, Y; Figueiredo, F; Ou, Y; Luo, D (Springer, 2007-01)
    In the real world, exceptional behavior can be seen in many situations such as security-oriented fields. Such behavior is rare and dispersed, while some of them may be associated with significant impact on the society. A ...
  • Guo, J; Zhang, P; Tan, J; Guo, L (Elsevier, 2012-01)
    Mininghottopicsfrom twitter streamshas attractedalotof attentionin recent years.Traditionalhottopicmining from InternetWeb pages were mainly basedontext clustering.However, comparedtothetextsinWeb pages, twitter texts are ...
  • Cao, L; Zhao, Y; Zhang, C (2008-08)
    Impact-targeted activities are rare but they may have a significant impact on the society. For example, isolated terrorism activities may lead to a disastrous event, threatening the national security. Similar issues can ...
  • Yang, Y; Wu, X; Zhu, X (Springer, 2006-01)
    Prediction in streaming data is an important activity in the modern society. Two major challenges posed by data streams are (1) the data may grow without limit so that it is difficult to retain a long history of raw data; ...
  • Lin, L; Cao, L (Inderscience Publishers, 2008-01)
    Stock trading plays an important role for supporting profitable stock investment. In particular, more and more data mining-based technical trading rules have been developed and used in stock trading systems to assist ...
  • Feng, L; Dillon, TS (Springer-Verlag Berlin, 2005-01)
    XML-enabled association rule framework [FDWC03] extends the notion of associated items to XML fragments to present associations among trees rather than simple-structured items of atomic values. They are more flexible and ...
  • Zhang, J; Zhu, X; Li, X; Zhang, S (2013)
    Recommender systems can predict individual user's preference (individual rating) on items by examining similar items' popularity or similar users' taste. However, these systems cannot tell item's long-term popularity. In ...
  • Lo, D; Li, J; Wong, L; Khoo, S (IEEE Computer Soc, 2011-01)
    Billions of dollars are spent annually on software-related cost. It is estimated that up to 45 percent of software cost is due to the difficulty in understanding existing systems when performing maintenance tasks (i.e., ...
  • Wang, CC; Lu, J; Zhang, G (Joint Conference On Information Sciences, 2005-01)
    Key information, in the form of distinctive menu items, navigation indicators provided by web site constructors, can classify the main contents of web pages and reflect certain taxonomy knowledge. Mining such information ...
  • Wang, C; Lu, J; Zhang, G (2007-08)
    Web content mining aims to discover useful information and generate desired knowledge from a large amount of web pages. Key information, such as distinctive menu items, navigation indicators, which is embedded in web pages, ...
  • Mao, G; Wu, X; Zhu, X; Chen, G; Liu, C (Sage Publications Ltd, 2007-01)
    Frequent pattern mining from data streams is an active research topic in data mining. Existing research efforts often rely on a two-phase framework to discover frequent patterns: (1) using internal data structures to store ...
  • Sim, K; Li, J; Gopalkrishnan, V; Liu, G (John Wiley and Sons Inc, 2009-01)
    Several real-world applications require mining of bicliques, as they represent correlated pairs of data clusters. However, the mining quality is adversely affected by missing and noisy data. Moreover, some applications ...
  • Sim K; Li Jinyan; Gopalkrishnan V; Liu Gm (John Wiley and Sons Inc, 2009)
    Several real-world applications require mining of bicliques, as they represent correlated pairs of data clusters. However, the mining quality is adversely affected by missing and noisy data. Moreover, some applications ...
  • Wang, P; Zhang, P; Guo, L (SIAM, 2012-01)
    Data stream classification has drawn increasing attention from the data mining community in recent years, where a large number of stream classification models were proposed. However, most existing models were merely focused ...