
- Missing Value Imputation Based on Data Clustering* Shichao Zhang1
- "Missing is Useful": Missing Values in Cost-Sensitive Decision Trees
- Knowledge and Information Systems (2000) 2: 97114 c 2000 Springer-Verlag London Ltd.
- DISCOVERING CAUSALITY IN LARGE DATABASES
- UNCORRECTED 2 EDUA: An efficient algorithm for dynamic database mining q
- Cost-Sensitive Imputing Missing Values with Ordering Xiaofeng Zhu1
- PROPAGATING TEMPORAL RELATIONS OF
- Abstract--Missing data imputation is an important step in the process of machine learning and data mining when certain values
- Information Systems ] (]]]]) ]]]]]] Database classification for multi-database mining
- Information Systems 28 (2003) 691707 Post-mining: maintenance of association rules by weighting$
- Synthesizing High-Frequency Rules from Different Data Sources
- 526 IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS--PART A: SYSTEMS AND HUMANS, VOL. 32, NO. 4, JULY 2002 one of the other parts in the assembly, in which only one sequence is
- IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS--PART A: SYSTEMS AND HUMANS, VOL. 32, NO. 4, JULY 2002 515 Anytime Mining for Multiuser Applications
- Applied Articial Intelligence, 15:129139, 2001 Copyright 2001 Taylor & Francis
- A fuzzy logic based method to acquire user threshold of minimum-support
- This article was downloaded by:[University of Technology Sydney] [University of Technology Sydney]
- P1: Dhirendra Samal (GJE) Applied Intelligence KL1701-06 September 10, 2002 17:9
- A Min Tjoa and J. Trujillo (Eds.): DaWaK 2005, LNCS 3589, pp. 305 314, 2005. Springer-Verlag Berlin Heidelberg 2005
- CIBuilder: A System Prototype for Building Confidence Intervals for Differences of Groups
- A logical framework for identifying quality knowledge from different data sources
- Mining Multiple Data Sources: Local Pattern Analysis Shichao Zha , Beijing University of Aeronautics
- uncorrectedproof Knowl Inf Syst
- MAY/JUNE 2005 1541-1672/05/$20.00 2005 IEEE 55 Published by the IEEE Computer Society
- ARMGA: IDENTIFYING INTERESTING ASSOCIATION RULES WITH GENETIC ALGORITHMS
- u AN AGENT-BASED HYBRID FRAMEWORK FOR DATABASE
- An efficient strategy for mining exceptions in multi-databases
- IMC: A Method for Interval Calculus in Matrix Shichao Zhang1
- Measuring the uncertainty of differences for contrasting groups Jilian Zhang1
- Cost-Time Sensitive Decision Tree with Missing Values1 Shichao Zhang1, 2
- Identifying Bridging Rules Between Conceptual Clusters Shichao Zhang
- Kernel-Based Multi-imputation for Missing Data* Shichao ZHANG1
- Modelling Temporal Semantics of Data Shichao Zhang, Chengqi Zhang and Zhenxing Qin
- Tractable Problems in Bayesian Networks Shichao Zhang
- Aggregation and maintenance for database mining Shichao Zhang
- Journal of Research and Practice in Information Technology, Vol. 35, No. 4, November 2003 227 A Probabilistic Data Model and Its Semantics
- APartial-Repeatability Approach to Data Mining Kai-Yuan Cai, Yunfei Yin, and Shichao Zhang Department of Automatic Control, Beijing University of
- Appl Intell DOI 10.1007/s10489-006-0032-0
- Appl Intell DOI 10.1007/s10489-009-0207-6
- IEEE TRANSACTIONS ON JOURNAL NAME, MANUSCRIPT ID 1 Missing Value Estimation for Mixed-Attribute
- International Journal of Data Warehousing and Mining, 6(3), 1-10, July-September 2010 1 Copyright 2010, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global