2008 |
34 | EE | Weiwei Fang,
Bingru Yang:
Privacy Preserving Decision Tree Learning over Vertically Partitioned Data.
CSSE (3) 2008: 1049-1052 |
33 | EE | Wei Hou,
Bingru Yang,
Zhun Zhou,
Chensheng Wu:
An Adaptive Frequent Itemset Mining Algorithm for Data Stream with Concept Drifts.
CSSE (4) 2008: 382-385 |
32 | EE | Linna Li,
Bingru Yang,
Fan Zhang:
Clustering for Complex Structured Data Based on Higher-Order Logic.
CSSE (4) 2008: 390-393 |
31 | | Bingru Yang,
Zhen Peng:
A New Construction of Classification Based on Asymmetrical Fuzzy Cognitive Map.
DMIN 2008: 328-332 |
30 | EE | Zhen Peng,
Bingru Yang,
Weiwei Fang:
A Learning Algorithm of Fuzzy Cognitive Map in Document Classification.
FSKD (1) 2008: 501-504 |
29 | EE | Linna Li,
Bingru Yang,
Faguo Zhou:
A Framework for Object-Oriented Data Mining.
FSKD (2) 2008: 60-64 |
28 | EE | Bingru Yang,
Zefeng Song,
Yinglong Wang,
Wei Song:
A New Web Text Clustering Algorithm Based on DFSSM.
ISECS 2008: 27-32 |
27 | EE | Wei Song,
Bingru Yang,
Zhangyan Xu:
Index-CloseMiner: An improved algorithm for mining frequent closed itemset.
Intell. Data Anal. 12(4): 321-338 (2008) |
26 | EE | Wei Song,
Bingru Yang,
Zhangyan Xu:
Index-Maxminer: a New Maximal Frequent Itemset Mining Algorithm.
International Journal on Artificial Intelligence Tools 17(2): 303-320 (2008) |
25 | EE | Wei Song,
Bingru Yang,
Zhangyan Xu:
Index-BitTableFI: An improved algorithm for mining frequent itemsets.
Knowl.-Based Syst. 21(6): 507-513 (2008) |
2007 |
24 | | Bingru Yang,
Zhangyan Xu,
Wei Song,
Yanling Han:
An Efficient Algorithm for Computing Core Based on Positive Region.
IC-AI 2007: 628-634 |
23 | EE | Bingru Yang,
Zhangyan Xu,
Wei Song,
Jing Gao:
Comparison Study on Different Core Attributes.
ICFIE 2007: 693-703 |
22 | EE | Kai-jian Liang,
Quan Liang,
Bingru Yang:
A New Method of Causal Association Rule Mining Based on Language Field.
ICIC (2) 2007: 360-366 |
21 | EE | Rong Qian,
Wei Zhang,
Bingru Yang:
Community Detection in Scale-Free Networks Based on Hypergraph Model.
PAISI 2007: 226-231 |
20 | EE | Zhangyan Xu,
Chengqi Zhang,
Shichao Zhang,
Wei Song,
Bingru Yang:
Efficient Attribute Reduction Based on Discernibility Matrix.
RSKT 2007: 13-21 |
19 | EE | Weidong Cai,
Zhangyan Xu,
Wei Song,
Bingru Yang:
A Quick Algorithm for Computing Core Based on the Positive Region.
SNPD (3) 2007: 676-681 |
18 | EE | Bingru Yang,
Wei Song,
Zhangyan Xu:
New construction for expert system based on innovative knowledge discovery technology.
Science in China Series F: Information Sciences 50(1): 29-40 (2007) |
2006 |
17 | | Bingru Yang,
Wei Song,
Zhangyan Xu:
Semi-Supervised Learning for Web Text Clustering.
IC-AI 2006: 243-249 |
16 | EE | Honghai Feng,
Hao Xu,
Baoyan Liu,
Bingru Yang,
Zhuye Gao,
Yueli Li:
Using Rough Set to Find the Factors That Negate the Typical Dependency of a Decision Attribute on Some Condition Attributes.
IDEAL 2006: 713-720 |
15 | EE | Honghai Feng,
Zhao Shuo,
Baoyan Liu,
Liyun He,
Bingru Yang,
Yueli Li:
Using Positive Region to Reduce the Computational Complexity of Discernibility Matrix Method.
IEA/AIE 2006: 1290-1298 |
14 | EE | Wei Zhang,
Bingru Yang:
An Efficient and Scalable Algorithm for Multi-Relational Frequent Pattern Discovery.
ISDA (1) 2006: 730-740 |
13 | | Honghai Feng,
Baoyan Liu,
Liyun He,
Bingru Yang,
Yumei Chen,
Shuo Zhao:
Using Rough Set to Induce All Kinds of Positive Region Knowledge and It's use in SARS Data Set.
Industrial Conference on Data Mining - Posters 2006: 244-252 |
12 | EE | Honghai Feng,
Baoyan Liu,
Liyun He,
Bingru Yang,
Yueli Li:
A Discretization Algorithm That Keeps Positive Regions of All the Decision Classes.
KES (1) 2006: 1029-1036 |
11 | EE | Honghai Feng,
Baoyan Liu,
Liyun He,
Bingru Yang,
Yumei Chen,
Zhao Shuo:
An Algorithm for Eliminating the Inconsistencies Caused During Discretization.
KES (1) 2006: 145-152 |
10 | EE | Honghai Feng,
Baoyan Liu,
Liyun He,
Bingru Yang,
Yueli Li,
Zhao Shuo:
Using Rough Set to Induce More Abstract Rules from Rule Base.
KES (1) 2006: 498-505 |
9 | EE | Honghai Feng,
Xu Hao,
Baoyan Liu,
Liyun He,
Bingru Yang,
Yueli Li:
Algorithms for Finding and Correcting Four Kinds of Data Mistakes in Information Table.
KES (1) 2006: 714-719 |
2005 |
8 | | Honghai Feng,
Baoyan Liu,
Liyun He,
Bingru Yang,
Huang Yong:
A Rough Set Based Algorithm for Handling Information Systems where there are a Large Number of Missing Values.
IICAI 2005: 2411-2419 |
7 | EE | Honghai Feng,
Baoyan Liu,
Yin Cheng,
Ping Li,
Bingru Yang,
Yumei Chen:
Using Rough Set to Reduce SVM Classifier Complexity and Its Use in SARS Data Set.
KES (3) 2005: 575-580 |
6 | EE | Honghai Feng,
Chen Guoshun,
Yin Cheng,
Bingru Yang,
Yumei Chen:
A SVM Regression Based Approach to Filling in Missing Values.
KES (3) 2005: 581-587 |
5 | EE | Honghai Feng,
Yin Cheng,
Mingyi Liao,
Bingru Yang,
Yumei Chen:
Using Rough Set to Induce Comparative Knowledge and Its Use in SARS Data.
KES (4) 2005: 89-93 |
4 | EE | Bingru Yang,
Jiangtao Shen,
Wei Song:
Kdk Based Double-Basis Fusion Mechanism and Its Process Model.
International Journal on Artificial Intelligence Tools 14(3): 399-424 (2005) |
2004 |
3 | | Bingru Yang,
Wei Song:
Research on Post-Processing of Association Rules During Dynamic Knowledge Discovery Process.
IC-AI 2004: 664-670 |
2002 |
2 | | Bingru Yang,
Ying Zhou:
The Inner Mechanism of Knowledge Discovery System and its Influence to KDD Mainstream Development.
IC-AI 2002: 826-832 |
1 | | Bingru Yang:
A Driving Force of Knowledge Discovery in Data Base Main Stream - Double Base Cooperation Mechanism.
IC-AI 2002: 844-852 |