New Research Directions

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[3]  Anastasios Gounaris,et al.  Honoring SLAs on cloud computing services: A control perspective , 2009, 2009 European Control Conference (ECC).

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[6]  Tomonobu Ozaki,et al.  Mining Mutually Dependent Ordered Subtrees in Tree Databases , 2009, PAKDD Workshops.

[7]  Tharam S. Dillon,et al.  Conjoint Data Mining of Structured and Semi-structured Data , 2008, 2008 Fourth International Conference on Semantics, Knowledge and Grid.

[8]  Minoru Kanehisa,et al.  Mining significant tree patterns in carbohydrate sugar chains , 2008, ECCB.

[9]  Jean-François Boulicaut,et al.  Data Peeler: Contraint-Based Closed Pattern Mining in n-ary Relations , 2008, SDM.

[10]  Geoffrey I. Webb.  Discovering significant patterns , 2008, Machine Learning.

[11]  Vipin Kumar,et al.  Data Analysis in the 21st Century , 2008, Stat. Anal. Data Min..

[12]  Muhammad Ali Babar,et al.  Establishing and maintaining trust in software outsourcing relationships: An empirical investigation , 2007, J. Syst. Softw..

[13]  Anne Laurent,et al.  Fuzzy Tree Mining: Go Soft on Your Nodes , 2007, IFSA.

[14]  Kholekile L. Gwebu,et al.  A Conceptual Framework for Understanding Trust Building and Maintenance in Virtual Organizations , 2007 .

[15]  Jian Pei,et al.  Constraint-based sequential pattern mining: the pattern-growth methods , 2007, Journal of Intelligent Information Systems.

[16]  Arne Koopman,et al.  Reducing the Frequent Pattern Set , 2006, ICDM Workshops.

[17]  Hui Xiong,et al.  Hyperclique pattern discovery , 2006, Data Mining and Knowledge Discovery.

[18]  G. Winch,et al.  Exploring the dynamics of building, and losing, consumer trust in B2C eBusiness , 2006 .

[19]  Xiaoyun Zhu,et al.  Utilization and SLO-Based Control for Dynamic Sizing of Resource Partitions , 2005, DSOM.

[20]  Atsuyoshi Nakamura,et al.  Mining Frequent Trees with Node-Inclusion Constraints , 2005, PAKDD.

[21]  Jiawei Han,et al.  TFP: an efficient algorithm for mining top-k frequent closed itemsets , 2005, IEEE Transactions on Knowledge and Data Engineering.

[22]  Alon Y. Halevy,et al.  Semantic Integration Research in the Database Community : A Brief Survey , 2005 .

[23]  Gerti Kappel,et al.  Integrating XML and Relational Database Systems , 2004, World Wide Web.

[24]  Alessio Micheli,et al.  Contextual processing of structured data by recursive cascade correlation , 2004, IEEE Transactions on Neural Networks.

[25]  Balaji Padmanabhan,et al.  On the discovery of significant statistical quantitative rules , 2004, KDD.

[26]  Aristides Gionis,et al.  Approximating a collection of frequent sets , 2004, KDD.

[27]  Keun Ho Ryu,et al.  Mining association rules on significant rare data using relative support , 2003, J. Syst. Softw..

[28]  C. Ruppel,et al.  e-Commerce: The Roles of Trust, Security, and Type of e-Commerce Involvement , 2003 .

[29]  Kevin Chen-Chuan Chang,et al.  Statistical schema matching across web query interfaces , 2003, SIGMOD '03.

[30]  Ah Chung Tsoi,et al.  A self-organizing map for adaptive processing of structured data , 2003, IEEE Trans. Neural Networks.

[31]  Jiong Yang,et al.  CLUSEQ: efficient and effective sequence clustering , 2003, Proceedings 19th International Conference on Data Engineering (Cat. No.03CH37405).

[32]  Tharam S. Dillon,et al.  A semantic network-based design methodology for XML documents , 2002, TOIS.

[33]  Erhard Rahm,et al.  COMA - A System for Flexible Combination of Schema Matching Approaches , 2002, VLDB.

[34]  Daniel Kifer,et al.  DualMiner: A Dual-Pruning Algorithm for Itemsets with Constraints , 2002, Data Mining and Knowledge Discovery.

[35]  Yixin Diao,et al.  Using fuzzy control to maximize profits in service level management , 2002, IBM Syst. J..

[36]  Sang Hyuk Son,et al.  Feedback control scheduling in distributed real-time systems , 2001, Proceedings 22nd IEEE Real-Time Systems Symposium (RTSS 2001) (Cat. No.01PR1420).

[37]  Stephen D. Bay,et al.  Detecting Group Differences: Mining Contrast Sets , 2001, Data Mining and Knowledge Discovery.

[38]  Alexandra Poulovassilis,et al.  A Semantic Approach to Integrating XML and Structured Data Sources , 2001, CAiSE.

[39]  Laks V. S. Lakshmanan,et al.  Mining frequent itemsets with convertible constraints , 2001, Proceedings 17th International Conference on Data Engineering.

[40]  Sang Hyuk Son,et al.  Feedback Control Real-Time Scheduling: Framework, Modeling, and Algorithms* , 2001, Real-Time Systems.

[41]  Jiawei Han,et al.  Data Mining: Concepts and Techniques , 2000 .

[42]  Thomas Voegtlin,et al.  Context quantization and contextual self-organizing maps , 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

[43]  Wynne Hsu,et al.  Pruning and summarizing the discovered associations , 1999, KDD '99.

[44]  Wynne Hsu,et al.  Mining association rules with multiple minimum supports , 1999, KDD '99.

[45]  Laks V. S. Lakshmanan,et al.  Optimization of constrained frequent set queries with 2-variable constraints , 1999, SIGMOD '99.

[46]  Catriel Beeri,et al.  Schemas for Integration and Translation of Structured and Semi-structured Data , 1999, ICDT.

[47]  Mohammed J. Zaki,et al.  PlanMine: Predicting Plan Failures Using Sequence Mining , 1998, Artificial Intelligence Review.

[48]  Laks V. S. Lakshmanan,et al.  Exploratory mining and pruning optimizations of constrained associations rules , 1998, SIGMOD '98.

[49]  Philip S. Yu,et al.  A new framework for itemset generation , 1998, PODS '98.

[50]  Rajeev Motwani,et al.  Beyond Market Baskets: Generalizing Association Rules to Dependence Rules , 1998, Data Mining and Knowledge Discovery.

[51]  Ramakrishnan Srikant,et al.  Mining Association Rules with Item Constraints , 1997, KDD.

[52]  Rajeev Motwani,et al.  Dynamic itemset counting and implication rules for market basket data , 1997, SIGMOD '97.

[53]  Rajeev Motwani,et al.  Beyond market baskets: generalizing association rules to correlations , 1997, SIGMOD '97.

[54]  M. Uschold,et al.  Ontologies: principles, methods and applications , 1996, The Knowledge Engineering Review.

[55]  Carlo Zaniolo,et al.  Metaqueries for Data Mining , 1996, Advances in Knowledge Discovery and Data Mining.

[56]  Thomas R. Gruber,et al.  Toward principles for the design of ontologies used for knowledge sharing? , 1995, Int. J. Hum. Comput. Stud..

[57]  Heikki Mannila,et al.  Finding interesting rules from large sets of discovered association rules , 1994, CIKM '94.

[58]  Tharam S. Dillon,et al.  Automated knowledge acquisition , 1994, Prentice Hall International series in computer science and engineering.

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[63]  Julian Padget,et al.  REACTIVE MONITORING OF SERVICE LEVEL AGREEMENTS , 2010 .

[64]  F. Brazier,et al.  NEGOTIATION AND MONITORING OF SERVICE LEVEL AGREEMENTS , 2010 .

[65]  Ling Feng,et al.  Mining Frequent Patterns Using Self-Organizing Map , 2007 .

[66]  Jiawei Han,et al.  On compressing frequent patterns , 2007, Data Knowl. Eng..

[67]  Ah Chung Tsoi,et al.  Contextual Processing of Graphs using Self-Organizing Maps , 2005, ESANN.

[68]  Geert Wets,et al.  Defining interestingness for association rules , 2003 .

[69]  Gregory Piatetsky-Shapiro,et al.  Discovery, Analysis, and Presentation of Strong Rules , 1991, Knowledge Discovery in Databases.

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