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  • Hsieh, Tsung-Jung; Hsiao, Hsiao-Fen; Yeh, Wei-Chang (Elsevier, 2012)
    The 2008 financial tsunami had a serious impact on the economic development of many countries, including Taiwan. Thus, the ability to predict financial failure and their trends is crucial and attracts public and professional ...
  • Zhang, Shichao; Huang, Zifang; Zhang, Jilian; Zhu, Xiaofeng (Springer, 2008)
    Research on traditional association rules has gained a great attention during the past decade. Generally, an association rule A a?? B is used to predict that B likely occurs when A occurs. This is a kind of strong correlation, ...
  • Zhao, Yanchang; Zhang, Huaifeng; Figueiredo, Fernando; Cao, Longbing; Zhang, Chengqi (ACM, 2007)
    Many organisations have their digital information stored in a distributed systems structure scheme, be it in different locations, using vertically and horizontally distributed repositories, which brings about an high level ...
  • Burns, Elaine; Fenwick, Jennifer; Sheehan, Athena; Schmied, Virginia (Blackwell Publishing Ltd, 2013)
    Internationally, women give mixed reports regarding professional support during the early establishment of breastfeeding. Little is known about the components of midwifery language and the support practices, which assist ...
  • Zhao, L; Li, Jinyan (Biomed Central Ltd, 2010)
    Background: Predicting B-cell epitopes is very important for designing vaccines and drugs to fight against the infectious agents. However, due to the high complexity of this problem, previous prediction methods that focus ...
  • Chen, Qingfeng; Chen, Phoebe; Zhang, Chengqi; Li, Lianggang (Springer, 2006)
    Protein kinases, a family of enzymes, have been viewed as an important signaling intermediary by living organisms for regulating critical biological processes such as memory, hormone response and cell growth. The unbalanced ...
  • Guo, Jing; Zhang, Peng; Tan, Jianlong; Guo, Li (ACM, 2011)
    Mining frequent patterns from data streams has drawn increasing attention in recent years. However, previous mining algorithms were all focused on a single data stream. In many emerging applications, it is of critical ...
  • Fariha, Anna; Ahmed, Chowdhury; Leung, Carson; Abdullah, S.; Cao, Longbing (Springer, 2013)
    In modern life, interactions between human beings frequently occur in meetings, where topics are discussed. Semantic knowledge of meetings can be revealed by discovering interaction patterns from these meetings. An existing ...
  • Li, Xin; Zhang, Lei; Chen, Enhong; Zong, Yu; Xu, Guandong (Springer Berlin / Heidelberg, 2013)
    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, Li; Chen, Ling; Zhang, Chengqi (ACM EDBT/ICDT 2013, 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 ...
  • Zhang, Shichao; You, Xiaofang; Jin, Zhi; Wu, Xindong (Elsevier Science, 2009)
    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, Longbing; Zhao, Yanchang; Figueiredo, Fernando; Ou, Yuming; Luo, Dan (Springer, 2007)
    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, Jing; Zhang, Peng; Tan, Jianlong; Guo, Li (Elsevier, 2012)
    Mininghottopicsfrom twitter streamshas attractedalotof attentionin recent years.Traditionalhottopicmining from InternetWeb pages were mainly basedontext clustering.However, comparedtothetextsinWeb pages, twitter texts are ...
  • Cao, Longbing; Zhao, Yanchang; Zhang, Chengqi (IEEE Computer Soc, 2008)
    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, Xindong; Zhu, Xingquan (Springer, 2006)
    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, Li; Cao, Longbing (Inderscience Publishers, 2008)
    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, Ling; Dillon, Tharam (Springer-Verlag Berlin, 2005)
    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, Jilian; Zhu, Xiaofeng; Li, Xianxian; Zhang, Shichao (Springer, 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. ...
  • Lo, D; Li, Jinyan; Wong, Ls; Khoo, Sc (IEEE Computer Soc, 2011)
    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, Changxin; Lu, Jie; Zhang, Guangquan (Joint Conference On Information Sciences, 2005)
    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 ...