Zijian Zheng
#189,553
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Zijian Zheng's AcademicInfluence.com Rankings
Zijian Zhengcomputer-science Degrees
Computer Science
#12664
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#13554
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Data Mining
#296
World Rank
#297
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Database
#9774
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#10346
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Computer Science
Why Is Zijian Zheng Influential?
(Suggest an Edit or Addition)Zijian Zheng's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Real world performance of association rule algorithms (2001) (535)
- KDD-Cup 2000 organizers' report: peeling the onion (2000) (308)
- Lazy Learning of Bayesian Rules (2000) (272)
- Multistrategy ensemble learning: reducing error by combining ensemble learning techniques (2004) (209)
- Lessons and Challenges from Mining Retail E-Commerce Data (2004) (153)
- Integrating e-commerce and data mining: architecture and challenges (2000) (134)
- KDD CUP-2005 report: facing a great challenge (2005) (122)
- Identifying "best bet" web search results by mining past user behavior (2006) (70)
- PSkip: estimating relevance ranking quality from web search clickthrough data (2009) (62)
- Naive Bayesian Classifier Committees (1998) (54)
- A Study of AdaBoost with Naive Bayesian Classifiers: Weakness and Improvement (2003) (51)
- Boosting Trees for Cost-Sensitive Classifications (1998) (48)
- Constructing X-of-N Attributes for Decision Tree Learning (2000) (45)
- Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees (1999) (45)
- Boosting Cost-Sensitive Trees (1998) (40)
- Improving the Performance of Boosting for Naive Bayesian Classification (1999) (38)
- Large-scale bot detection for search engines (2010) (37)
- An Experimental Evaluation of Integrating Machine Learning with Knowledge Acquisition (1999) (36)
- Constructing Nominal X-of-N Attributes (1995) (35)
- Stochastic Attribute Selection Committees (1998) (34)
- Personal name classification in web queries (2008) (22)
- Classifying Unseen Cases with Many Missing Values (1999) (20)
- A Benchmark For Classifier Learning (1993) (15)
- Stochastic Attribute Selection Committees with Aultiple Boosting: Learning More Accurate and More Stable Classifer Committees (1999) (14)
- Constructing New Attributes for Decision Tree Learning (1996) (12)
- Integrating boosting and stochastic attribute selection committees for further improving the performance of decision tree learning (1998) (12)
- Multiple Boosting: A Combination of Boosting and Bagging (1998) (11)
- Effects of different types of new attribute on constructive induction (1996) (11)
- Constructing conjunctions using systematic search on decision trees (1998) (11)
- Generating Classifier Commitees by Stochastically Selecting both Attributes and Training Examples (1998) (8)
- A Comparison of Constructing Different Types ofNew Feature For Decision Tree Learning (1998) (7)
- Naive Bayesian Classiier Committees (1998) (6)
- Integrating E-Commerce and Data Mining (2000) (6)
- Learning Lazy Rules to Improve the Performance of Classifiers (2000) (5)
- Scaling Up the Rule Generation of C4.5 (1998) (4)
- A Hybrid Knowledge Engineering Development Environment (Kede) (1992) (4)
- A Comparison of Constructive Induction with Diierent Types of New Attribute (1996) (4)
- Using Decision Trees for Agent Modelling: A Study on Resolving Confliction Predictions (1997) (3)
- Continuous-valued X-of-n Attributes versus Nominal X-of-n Attributes for Constructive Induction: a Case Study (1995) (3)
- An introduction to KEDE-A hybrid knowledge engineering development environment (1990) (2)
- K-DGHC: A hierarchical clustering method based on K-dominance granularity (2023) (0)
- Application of Data Mining Techniques in Transportation Safety Study (2018) (0)
- A Benchmark for Classifier Learning a Benchmark for Classifier Learning (1993) (0)
- KEDE – A HYBRID KNOWLEDGE ENGINEERING DEVELOPMENT ENVIRONMENT (1993) (0)
- Panel on Mining the Big Data (2012) (0)
- Learning Lazy Rules to Improvethe Performance of Classi ersKai (2000) (0)
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