[-] Name Disambiguation results for 15 "Bing Liu": [Show all "Bing Liu"]

<
1 h-index:38 #papers:113
Department of Computer Science University of Illinois at Chicago ...
2 h-index:9 #papers:28
3 h-index:4 #papers:5
National Laboratory of Pattern Recognition, Institute of Automat ...
4 h-index:2 #papers:4
Coll. of Inf. Eng., Xiangtan Univ., China
5 h-index:2 #papers:3
6 h-index:3 #papers:3
Inf. Sci. Inst., Univ. of Southern California, Marina del Rey, C ...
7 h-index:1 #papers:2
Virginia Polytechnic Institute and State University, Blacksburg ...
8 h-index:1 #papers:2
9 h-index:0 #papers:2
Beijing University of Posts and Telecommunications, China
10 h-index:2 #papers:2
Lehrstuhl für Informatik V, Universität Mannheim, Mannheim, Germ ...
11 h-index:0 #papers:2
12 h-index:1 #papers:2
Department of Mathematics, Anshan Normal University, Anshan, Lia ...
13 h-index:1 #papers:1
Department of Mathematics, Huazhong University of Science and Te ...
14 h-index:0 #papers:1
Software Center, Northeast Univ. of Technol., Shenyang
15 h-index:0 #papers:1
bogus
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Bing Liu [FOAF]  [Follow]

Position: Professor
Affiliation: Department of Computer Science University of Illinois at Chicago (UIC)
Address: Department of Computer Science University of Illinois at Chicago (UIC) 851 S. Morgan (M/C 152) Chicago, IL 60607-7053
Phone: 1 (312) 685-2570
Fax: 1 (312) 413 0024
Email:
Homepage: http://www.cs.uic.edu/~liub/
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Statistics: H-index: 38 (See all experts' h-index.)
total citation number: 6257
highest-cited paper: Integrating Classification and Association Rule Mining (1998) at KDD (Cited By 1172)

Research Interest:

data mining, Extracting Web Data, Web Page, opinion mining, web mining

Show Temporal Interests (Do you want to see the change of his/her research interests?)


National Science Foundation - US

[1] On Partially Supervised Text Classification (0307239), 2003-05-15 - 2006-04-30

National Science Foundation - CN

[5] 刘炳, 高矿化度水质下三氧二铝颗粒增强铝锰合金复合材料的冲蚀腐蚀机制研究 (50861008), 2009-01-01 - 2011-12-01
[4] 刘兵, 胚胎造血组织间充质干细胞的迁移规律和调节机制 (30871410), 2009-01-01 - 2011-12-01
[3] 刘兵, PDGF信号介导的血液血管干细胞发育调控 (30770921), 2008-01-01 - 2010-12-01
[2] 刘兵, 可再生生物资源的开发与管理问题的数学研究 (10671001), 2007-01-01 - 2008-12-01
[1] 刘兵, TGF-β1对血液血管干细胞发育和造血分化的调控作用 (30300181), 2004-01-01 - 2006-12-01

Publications: [Edit disambiguation Result]

2009(6)
[113]Tieyun QianQing LiBing LiuHui XiongJaideep SrivastavaPhillip C.-Y. SheuWhat's behind topic formation and development: a perspective of community core groups.  CIKM'2009. pp.1843~1846    Cited By 1[Bibtex]
[112]Bing LiuP. S. ThiagarajanDavid HsuProbabilistic Approximations of Signaling Pathway Dynamics.  CMSB'2009. pp.251~265   [Bibtex]
[111]Lei ZhangBing LiuJeffrey BenklerChi ZhouFinding Actionable Knowledge via Automated Comparison.  ICDE'2009. pp.1419~1430   [Bibtex]
[110]Xiaowen DingBing LiuLei ZhangEntity discovery and assignment for opinion mining applications.  KDD'2009. pp.1125~1134    Cited By 3[Bibtex]
[109]Xiaoli LiPhilip S. YuBing LiuSee-Kiong NgPositive Unlabeled Learning for Data Stream Classification.  SDM'2009. pp.257~268    Cited By 4[Bibtex]
[108]Bing LiuLei ZhangDynamics of a two-species Lotka-Volterra competition system in a polluted environment with pulse toxicant input. Applied Mathematics and Computation, 2009: 155~162   [Bibtex]
2008(5)
[107]Xin LiBing LiuPhilip S. YuTime Sensitive Ranking with Application to Publication Search.  ICDM'2008. pp.893~898    Cited By 3[Bibtex]
[106]Nitin JindalBing LiuOpinion spam and analysis.  WSDM'2008. pp.219~230    Cited By 35[Bibtex]
[105]Xiaowen DingBing LiuPhilip S. YuA holistic lexicon-based approach to opinion mining.  WSDM'2008. pp.231~240    Cited By 60[Bibtex]
[104]Bing LiuAlexander TuzhilinManaging large collections of data mining models. Commun. ACM, 2008: 85~89    Cited By 5[Bibtex]
[103]Xindong WuVipin KumarJ. Ross QuinlanJoydeep GhoshQiang YangHiroshi MotodaGeoffrey J. McLachlanAngus F. M. NgBing LiuPhilip S. YuZhi-Hua ZhouMichael SteinbachDavid J. HandDan SteinbergTop 10 algorithms in data mining. Knowl. Inf. Syst., 2008: 1~37    Cited By 135[Bibtex]
2007(9)
[102]Xiaoli LiBing LiuSee-Kiong NgLearning to Classify Documents with Only a Small Positive Training Set.  ECML'2007. pp.201~213    Cited By 7[Bibtex]
[101]Nitin JindalBing LiuAnalyzing and Detecting Review Spam.  ICDM'2007. pp.547~552    Cited By 10[Bibtex]
[100]Xiaoli LiBing LiuSee-Kiong NgLearning to Identify Unexpected Instances in the Test Set.  IJCAI'2007. pp.2802~2807    Cited By 10[Bibtex]
[99]Yi ZhangBing LiuSemantic Text Classification of Emergent Disease Reports.  PKDD'2007. pp.629~637   [Bibtex]
[98]Yi ZhangBing LiuSemantic text classification of disease reporting.  SIGIR'2007. pp.747~748    Cited By 1[Bibtex]
[97]Xiaowen DingBing LiuThe utility of linguistic rules in opinion mining.  SIGIR'2007. pp.811~812    Cited By 40[Bibtex]
[96]Nitin JindalBing LiuReview spam detection.  WWW'2007. pp.1189~1190    Cited By 18[Bibtex]
[95]Yanhong ZhaiBing LiuExtracting Web Data Using Instance-Based Learning.  World Wide Web'2007. pp.113~132    Cited By 35[Bibtex]
[94]James BennettCharles ElkanBing LiuPadhraic SmythDomonkos TikkKDD Cup and workshop 2007. SIGKDD Explorations, 2007: 51~52    Cited By 7[Bibtex]
2006(15)
[93]Minqing HuBing LiuOpinion Extraction and Summarization on the Web.  AAAI'2006.     Cited By 17[Bibtex]
[92]Nitin JindalBing LiuMining Comparative Sentences and Relations.  AAAI'2006.     Cited By 53[Bibtex]
[91]Yanhong ZhaiBing LiuAutomatic Wrapper Generation Using Tree Matching and Partial Tree Alignment.  AAAI'2006.     Cited By 3[Bibtex] [PDF]
[90]Shenghua BaoYunbo CaoBing LiuYong YuHang LiMining Latent Associations of Objects Using a Typed Mixture Model--A Case Study on Expert/Expertise Mining.  ICDM'2006. pp.803~807    Cited By 1[Bibtex] [PDF]
[89]Kaidi ZhaoBing LiuJeffrey BenklerWeimin XiaoOpportunity map: identifying causes of failure - a deployed data mining system.  KDD'2006. pp.892~901    Cited By 4[Bibtex]
[88]Bing LiuKaidi ZhaoJeffrey BenklerWeimin XiaoRule interestingness analysis using OLAP operations.  KDD'2006. pp.297~306    Cited By 17[Bibtex] [PDF]
[87]Xin LiBing LiuPhilip S. YuDiscovering Overlapping Communities of Named Entities.  PKDD'2006. pp.593~600    Cited By 14[Bibtex] [PDF]
[86]Bing LiuJianjun XuZhihui WangWei WangBaile ShiSubsequence Similarity Search Under Time Shifting.  RSKT'2006. pp.450~455   [Bibtex]
[85]Bing LiuZhihui WangXiaoming YangWei WangBaile ShiA Bottom-Up Distance-Based Index Tree for Metric Space.  RSKT'2006. pp.442~449    Cited By 1[Bibtex]
[84]Nitin JindalBing LiuIdentifying comparative sentences in text documents.  SIGIR'2006. pp.244~251    Cited By 64[Bibtex]
[83]Zhihui WangBing LiuWei WangHaofeng ZhouBaile ShiAn Effective Approach for Hiding Sensitive Knowledge in Data Publishing.  WAIM'2006. pp.146~157    Cited By 5[Bibtex]
[82]Bing LiuYuliang ShiZhihui WangWei WangBaile ShiDynamic Incremental Data Summarization for Hierarchical Clustering.  WAIM'2006. pp.410~421    Cited By 1[Bibtex]
[81]Bing LiuZhihui WangJingtao LiWei WangBaile ShiTight Bounds on the Estimation Distance Using Wavelet.  WAIM'2006. pp.460~471    Cited By 5[Bibtex]
[80]Jingtao LiXueping WangBing LiuQian WangGendu ZhangA Reputation Management Scheme Based on Global Trust Model for Peer-to-Peer Virtual Communities.  WAIM'2006. pp.205~216    Cited By 3[Bibtex]
[79]Yanhong ZhaiBing LiuStructured Data Extraction from the Web Based on Partial Tree Alignment. IEEE Trans. Knowl. Data Eng., 2006: 1614~1628    Cited By 46[Bibtex]
2005(16)
[78]Yan HepingBing LiuXiaoming YangWei WangBaile ShiGenxing YangControlling FD and MVD Inferences in MLS.  CIT'2005. pp.82~87   [Bibtex]
[77]Jiangjiao DuanWei WangBing LiuYongsheng XueHaofeng ZhouBaile ShiIncorporating with Recursive Model Training in Time Series Clustering.  CIT'2005. pp.105~109    Cited By 3[Bibtex]
[76]Yuliang ShiLiang ZhangBing LiuFangfang LiuLili LinBaile ShiA Formal Specification for Web Services Composition and Verification.  CIT'2005. pp.252~256    Cited By 3[Bibtex]
[75]Xiaoming YangZhibin WangBing LiuShouzhi ZhangWei WangBole ShiNon-Almost-Derivable Frequent Itemsets Mining.  CIT'2005. pp.157~161    Cited By 2[Bibtex]
[74]Xin LiBing LiuMining community structure of named entities from free text.  CIKM'2005. pp.275~276    Cited By 3[Bibtex]
[73]Kaidi ZhaoBing LiuThomas M. TirpakWeimin XiaoOpportunity map: a visualization framework for fast identification of actionable knowledge.  CIKM'2005. pp.60~67    Cited By 5[Bibtex] [PDF]
[72]Greeshma NeglurRobert L. GrossmanBing LiuAssigning Unique Keys to Chemical Compounds for Data Integration: Some Interesting Counter Examples.  DILS'2005. pp.145~157    Cited By 3[Bibtex]
[71]Xiaoli LiBing LiuLearning from Positive and Unlabeled Examples with Different Data Distributions.  ECML'2005. pp.218~229    Cited By 18[Bibtex]
[70]Kaidi ZhaoBing LiuThomas M. TirpakWeimin XiaoA Visual Data Mining Framework for Convenient Identification of Useful Knowledge.  ICDM'2005. pp.530~537    Cited By 12[Bibtex] [PDF]
[69]Leonardo RigutiniMarco MagginiBing LiuAn EM Based Training Algorithm for Cross-Language Text Categorization.  Web Intelligence'2005. pp.529~535    Cited By 22[Bibtex]
[68]Philip S. YuXin LiBing LiuAdding the Temporal Dimension to Search - A Case Study in Publication Search.  Web Intelligence'2005. pp.543~549    Cited By 16[Bibtex]
[67]Bing LiuYanhong ZhaiNET - A System for Extracting Web Data from Flat and Nested Data Records.  WISE'2005. pp.487~495    Cited By 28[Bibtex]
[66]Yanhong ZhaiBing LiuExtracting Web Data Using Instance-Based Learning.  WISE'2005. pp.318~331    Cited By 35[Bibtex]
[65]Bing LiuMinqing HuJunsheng ChengOpinion observer: analyzing and comparing opinions on the Web.  WWW'2005. pp.342~351    Cited By 263[Bibtex]
[64]Yanhong ZhaiBing LiuWeb data extraction based on partial tree alignment.  WWW'2005. pp.76~85    Cited By 200[Bibtex]
[63]Chengqi ZhangQiang YangBing LiuGuest Editors' Introduction: Special Section on Intelligent Data Preparation. IEEE Trans. Knowl. Data Eng., 2005: 1163~1165   [Bibtex]
2004(12)
[62]Minqing HuBing LiuMining Opinion Features in Customer Reviews.  AAAI'2004. pp.755~760    Cited By 198[Bibtex]
[61]Bing LiuXiaoli LiWee Sun LeePhilip S. YuText Classification by Labeling Words.  AAAI'2004. pp.425~430    Cited By 56[Bibtex] [PDF]
[60]Gao CongWee Sun LeeHaoran WuBing LiuSemi-supervised Text Classification Using Partitioned EM.  DASFAA'2004. pp.482~493    Cited By 9[Bibtex]
[59]Minqing HuBing LiuMining and summarizing customer reviews.  KDD'2004. pp.168~177    Cited By 573[Bibtex] [PDF]
[58]Kaidi ZhaoBing LiuThomas M. TirpakAndreas SchallerV-Miner: using enhanced parallel coordinates to mine product design and test data.  KDD'2004. pp.494~502    Cited By 8[Bibtex] [PDF]
[57]Xiaoli LiBing LiuDealing with different distributions in learning from.  WWW (Alternate Track Papers Posters)'2004. pp.440~441   [Bibtex]
[56]Philip S. YuXin LiBing LiuOn the temporal dimension of search.  WWW (Alternate Track Papers Posters)'2004. pp.448~449    Cited By 31[Bibtex]
[55]Bing LiuRobert L. GrossmanYanhong ZhaiMining Web Pages for Data Records. IEEE Intelligent Systems, 2004: 49~55    Cited By 14[Bibtex]
[54]Robert L. GrossmanPavan KasturiDonald HamelbergBing LiuAn Empirical Study of the Universal Chemical Key Algorithm for Assigning Unique Keys to Chemical Compounds. J. Bioinformatics and Computational Biology, 2004: 155~172    Cited By 6[Bibtex]
[53]Bing LiuKevin Chen-Chuan ChangEditorial: special issue on web content mining. SIGKDD Explorations, 2004: 1~4    Cited By 37[Bibtex]
[52]Olfa NasraouiBamshad MobasherBrij M. MasandBing LiuWebKDD 2004: web mining and web usage analysis post-workshop report. SIGKDD Explorations, 2004: 147~151    Cited By 2[Bibtex]
[51]Bing LiuSoumen ChakrabartiGuest Editors' Introduction: Special Section on Mining and Searching the Web. IEEE Trans. Knowl. Data Eng., 2004: 2~3   [Bibtex]
2003(10)
[50]Robert L. GrossmanPavan KasturiDonald HamelbergBing LiuExperimental Studies of the Universal Chemical Key (UCK)Algorithm on the NCI Database of Chemical Compounds.  CSB'2003. pp.244~250    Cited By 5[Bibtex]
[49]Kaidi ZhaoBing LiuThomas M. TirpakAndreas SchallerDetecting Patterns of Change Using Enhanced Parallel Coordinates Visualization.  ICDM'2003. pp.747~747    Cited By 7[Bibtex] [PDF]
[48]Bing LiuYang DaiXiaoli LiWee Sun LeePhilip S. YuBuilding Text Classifiers Using Positive and Unlabeled Examples.  ICDM'2003. pp.179~188    Cited By 125[Bibtex] [PDF]
[47]Wee Sun LeeBing LiuLearning with Positive and Unlabeled Examples Using Weighted Logistic Regression.  ICML'2003. pp.448~455    Cited By 51[Bibtex] [PDF]
[46]Lan YiBing LiuWeb Page Cleaning for Web Mining through Feature Weighting.  IJCAI'2003. pp.43~50    Cited By 57[Bibtex] [PDF]
[45]Xiaoli LiBing LiuLearning to Classify Texts Using Positive and Unlabeled Data.  IJCAI'2003. pp.587~594    Cited By 109[Bibtex] [PDF]
[44]Bing LiuRobert L. GrossmanYanhong ZhaiMining data records in Web pages.  KDD'2003. pp.601~606    Cited By 249[Bibtex] [PDF]
[43]Lan YiBing LiuXiaoli LiEliminating noisy information in Web pages for data mining.  KDD'2003. pp.296~305    Cited By 178[Bibtex] [PDF]
[42]Bing LiuChee Wee ChinHwee Tou NgMining topic-specific concepts and definitions on the web.  WWW'2003. pp.251~260    Cited By 146[Bibtex] [PDF]
[41]Bing LiuYiming MaChing Kian WongPhilip S. YuScoring the Data Using Association Rules. Appl. Intell., 2003: 119~135    Cited By 25[Bibtex] [PDF]
2002(10)
[40]Xiaoli LiTong-Heng PhangMinqing HuBing LiuUsing micro information units for internet search.  CIKM'2002. pp.566~573   [Bibtex]
[39]Bing LiuJing LiuMultivariate Time Series Prediction via Temporal Classification.  ICDE'2002. pp.268~268    Cited By 6[Bibtex] [PDF]
[38]Gao CongBing LiuSpeed-up Iterative Frequent Itemset Mining with Constraint Changes.  ICDM'2002. pp.107~114    Cited By 16[Bibtex] [PDF]
[37]Bing LiuWee Sun LeePhilip S. YuXiaoli LiPartially Supervised Classification of Text Documents.  ICML'2002. pp.387~394    Cited By 155[Bibtex] [PDF]
[36]Haoran WuTong-Heng PhangBing LiuXiaoli LiA refinement approach to handling model misfit in text categorization.  KDD'2002. pp.207~216    Cited By 33[Bibtex]
[35]Alexander TuzhilinBing LiuQuerying multiple sets of discovered rules.  KDD'2002. pp.52~60    Cited By 37[Bibtex] [PDF]
[34]Gao CongLan YiBing LiuKe WangDiscovering Frequent Substructures from Hierarchical Semi-structured Data.  SDM'2002.     Cited By 42[Bibtex]
[33]Bing LiuKaidi ZhaoLan YiVisualizing web site comparisons.  WWW'2002. pp.693~703    Cited By 24[Bibtex]
[32]Chidanand ApteBing LiuEdwin P. D. PednaultPadhraic SmythBusiness applications of data mining. Commun. ACM, 2002: 49~53    Cited By 83[Bibtex]
[31]Isabel F. CruzAshfaq A. KhokharBing LiuA. Prasad SistlaOuri WolfsonClement T. YuResearch Activities in Database Management and Information Retrieval at the University of Illinois at Chicago. SIGMOD Record, 2002: 103~108   [Bibtex]
2001(4)
[30]Bing LiuYiming MaRonnie LeeAnalyzing the Interestingness of Association Rules from the Temporal Dimension.  ICDM'2001. pp.377~384    Cited By 40[Bibtex] [PDF]
[29]Bing LiuYiming MaPhilip S. YuDiscovering unexpected information from your competitors' web sites.  KDD'2001. pp.144~153    Cited By 76[Bibtex]
[28]Bing LiuWynne HsuYiming MaIdentifying non-actionable association rules.  KDD'2001. pp.329~334    Cited By 46[Bibtex] [PDF]
[27]Bing LiuWynne HsuYiming MaDiscovering the set of fundamental rule changes.  KDD'2001. pp.335~340    Cited By 37[Bibtex] [PDF]
2000(11)
[26]Bing LiuMinqing HuWynne HsuIntuitive Representation of Decision Trees Using General Rules and Exceptions.  AAAI/IAAI'2000. pp.615~620    Cited By 20[Bibtex] [PDF]
[25]Bing LiuYiyuan XiaPhilip S. YuClustering Through Decision Tree Construction.  CIKM'2000. pp.20~29    Cited By 82[Bibtex] [PDF]
[24]Bing LiuYiming MaChing Kian WongWeb for Data Mining Applications.  COMPSAC'2000. pp.465~466   [Bibtex] [PDF]
[23]Bing LiuWynne HsuHeng-Siew HanYiyuan XiaMining Changes for Real-Life Applications.  DaWaK'2000. pp.337~346    Cited By 45[Bibtex]
[22]Wynne HsuMong-Li LeeBing LiuTok Wang LingExploration mining in diabetic patients databases: findings and conclusions.  KDD'2000. pp.430~436    Cited By 21[Bibtex] [PDF]
[21]Bing LiuMinqing HuWynne HsuMulti-level organization and summarization of the discovered rules.  KDD'2000. pp.208~217    Cited By 82[Bibtex] [PDF]
[20]Yiming MaBing LiuChing Kian WongPhilip S. YuShuik Ming LeeTargeting the right students using data mining.  KDD'2000. pp.457~464    Cited By 34[Bibtex]
[19]Bing LiuYiming MaChing Kian WongImproving an Association Rule Based Classifier.  PKDD'2000. pp.504~509    Cited By 54[Bibtex]
[18]Wynne HsuBing LiuConceptual design: issues and challenges. Computer-Aided Design, 2000: 849~850    Cited By 56[Bibtex]
[17]Bing LiuWynne HsuShu ChenYiming MaAnalyzing the Subjective Interestingness of Association Rules. IEEE Intelligent Systems, 2000: 47~55    Cited By 154[Bibtex]
[16]Yiming MaBing LiuChing Kian WongWeb for Data Mining: Organizing and Interpreting the Discovered Rules using the Web. SIGKDD Explorations, 2000: 16~23    Cited By 23[Bibtex]
1999(6)
[15]Ke WangChu XuBing LiuClustering Transactions Using Large Items.  CIKM'1999. pp.483~490    Cited By 116[Bibtex] [PDF]
[14]Bing LiuWynne HsuYiming MaPruning and Summarizing the Discovered Associations.  KDD'1999. pp.125~134    Cited By 315[Bibtex] [PDF]
[13]Bing LiuWynne HsuYiming MaMining Association Rules with Multiple Minimum Supports.  KDD'1999. pp.337~341    Cited By 313[Bibtex] [PDF]
[12]Bing LiuWynne HsuYiming MaShu ChenMining Interesting Knowledge Using DM-II.  KDD'1999. pp.430~434    Cited By 21[Bibtex]
[11]Bing LiuWynne HsuKe WangShu ChenVisually Aided Exploration of Interesting Association Rules.  PAKDD'1999. pp.380~389    Cited By 34[Bibtex] [PDF]
[10]Bing LiuWynne HsuLai-Fun MunHing-Yan LeeFinding Interesting Patterns Using User Expectations. IEEE Trans. Knowl. Data Eng., 1999: 817~832    Cited By 121[Bibtex] [PDF]
1998(4)
[9]Bing LiuWynne HsuYiming MaIntegrating Classification and Association Rule Mining.  KDD'1998. pp.80~86    Cited By 1172[Bibtex] [PDF]
[8]Ke WangSoon Hock William TayBing LiuInterestingness-Based Interval Merger for Numeric Association Rules.  KDD'1998. pp.121~128    Cited By 89[Bibtex] [PDF]
[7]Bing LiuKe WangLai-Fun MunXin-Zhi QiUsing Decision Tree Induction for Discovering Holes in Data.  PRICAI'1998. pp.182~193    Cited By 25[Bibtex] [PDF]
[6]Ke WangBing LiuConcurrent Discretization of Multiple Attributes.  PRICAI'1998. pp.250~259    Cited By 28[Bibtex]
1997(2)
[5]Bing LiuLiang-Ping KuWynne HsuDiscovering Interesting Holes in Data.  IJCAI (2)'1997. pp.930~935    Cited By 56[Bibtex] [PDF]
[4]Bing LiuWynne HsuShu ChenUsing General Impressions to Analyze Discovered Classification Rules.  KDD'1997. pp.31~36    Cited By 187[Bibtex] [PDF]
1996(1)
[3]Bing LiuWynne HsuPost-Analysis of Learned Rules.  AAAI/IAAI, Vol. 1'1996. pp.828~834    Cited By 133[Bibtex] [PDF]
1994(2)
[2]Bing LiuIntegrating Rules and Constraints.  ICTAI'1994. pp.676~679   [Bibtex] [PDF]
[1]Bing LiuSiew-Hwee ChooShee-Ling LokSing-Meng LeongSoo-Chee LeeFoong-Ping PoonHwee-Har TanFinding the Shortest Route Using Cases, Knowledge, and Djikstra's Algorithm. IEEE Expert, 1994: 7~11    Cited By 13[Bibtex]