Browsing 08 Information and Computing Sciences by Title

UTSePress Research/Manakin Repository

Search UTSePress Research


Advanced Search

Browse

My Account

  • >
  • >

Browsing 08 Information and Computing Sciences by Title

Sort by: Order: Results:

  • Ni, Jiarui; Zhang, Chengqi (IEEE Computer Society, 2006)
    Technical analysis is one of the two main schools of thought in the analysis of security prices. It is widely believed and applied by many professional and amateur traders. However, it is often criticized for lacking ...
  • Dong, Gz; Li, Jinyan (Springer London Ltd, 2005)
    The mining of changes or differences or other comparative patterns from a pair of datasets is an interesting problem. This paper is focused on the mining of one type of comparative pattern called emerging patterns. Emerging ...
  • Wu, Xindong; Zhang, Chengqi; Zhang, Shichao (Morgan Kaufmann, 2002)
  • Zhao, Yanchang; Zhang, Huaifeng; Cao, Longbing; Zhang, Chengqi; Bohlscheid, Hans-Michael (Springer, 2009)
    Traditional sequential pattern mining deals with positive correlation between sequential patterns only, without considering negative relationship between them. In this paper, we present a notion of impact-oriented negative ...
  • Zhang, Shichao; Chen, Feng; Wu, Xindong; Zhang, Chengqi; Wang, Ruili (Springer, 2012)
    Bridging rules take the antecedent and action from different conceptual clusters. They are distinguished from association rules (frequent itemsets) because (1) they can be generated by the infrequent itemsets that are ...
  • Zhang, Shichao; Chen, Qingfeng; Jin, Zhi; Wang, Ruili (Elsevier Science, 2009)
    A class-bridge rule is the rule whose antecedent and consequent belong to different conceptual classes. This kind of rules stands for the correlation between conceptual classes. The study on class-bridge rules can benefit ...
  • Zhang, Peng; Zhu, Xingquan; Guo, Li (IEEE Computer Society, 2009)
    In this paper, we propose a framework to build prediction models from data streams which contain both labeled and unlabeled examples. We argue that due to the increasing data collection ability but limited resources for ...
  • Wan, Li; Chen, Ling; Zhang, Chengqi (IEEE Computer Society Press, 2013)
    In this paper, we focus on the problem of mining Probabilistic Dependent Frequent Serial Episodes (P-DFSEs) from uncertain sequence data. By observing that the frequentness probability of an episode in an uncertain sequence ...
  • Zhang, Shichao; Zhang, Chengqi; Yu, Jeffrey (Taylor & Francis Inc, 2004)
  • Lin, Li; Luo, Dan; Liu, Li (Springer, 2005)
    There have been many technical trading rules in stock market since the first stock exchange founded. Along with the developing of computer technology, the technical trading rules are playing more and more important roles ...
  • Zhang, Shichao; Liu, Li (Dept of Informatics, University of Szeged, Hungary, 2003)
    A dynamic database is a set of transactions, in which the content and the size can change over time. There is an essential difference between dynamic database mining and traditional database mining. This is because recently ...
  • Ou, Yuming; Cao, Longbing; Luo, Chao; Liu, Li (IEEE Computer Society, 2008)
    Market Surveillance plays an important role in maintaining market integrity, transparency and fairnesss. The existing trading pattern analysis only focuses on interday data which discloses explicit and high-level market ...
  • 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 ...
  • 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 ...