[-] Name Disambiguation results for 5 "Huan Liu": [Show all "Huan Liu"]

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School of Computing, Informatics, and Decision Systems Engineeri ...
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Accenture Technology Labs, San Jose, CA, USA
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Huan Liu [FOAF]  [Follow]

Position: Professor
Affiliation: School of Computing, Informatics, and Decision Systems Engineering
Address: Ira A. Fulton School of Engineering Brickyard Suite 501, 699 South Mill Avenue Arizona State University Box 878809 Tempe, AZ85287-8809, U.S.A.
Phone: 480-727-7349
Fax: 480-965-2751
Email:
Homepage: http://www.public.asu.edu/~huanliu/
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Statistics: H-index: 34 (See all experts' h-index.)
total citation number: 5211
highest-cited paper: Feature Selection for Classification (1997) at Intell. Data Anal. (Cited By 879)

Research Interest:

Feature Selection, Data Mining, Feature Transformation, Efficient Feature Selection, Evolving Feature Selection

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


National Science Foundation - US

[4] NSF Workshop Sponsorship for the Second International Workshop on Social Computing, Behavioral Modeling, and Prediction (0908506), 2009-01-15 - 2009-12-31
[3] III-COR-Small: Beyond Feature Selection and Extraction - An Integrated Framework for High-Dimensional Data of Small Labeled Samples (0812551), 2008-09-01 - 2009-08-31
[2] A Collaborative Project: Development of An Undergraduate Data Mining Course (0231448), 2003-01-01 - 2004-12-31
[1] SGER: Toward a Unifying Taxonomy for Feature Selection (0127815), 2001-09-15 - 2002-08-31

National Science Foundation - CN

[1] 刘欢, 纳米碳材料(碳纳米管薄膜及金刚石薄膜)的表面浸润性研究 (20601005), 2007-01-01 - 2009-12-01

Publications: [Edit disambiguation Result]

2010(1)
[121]Nitin AgarwalMagdiel Galan OliverasHuan LiuShankara B. SubramanyaWisColl: Collective wisdom based blog clustering. Inf. Sci., 2010: 39~61    Cited By 3[Bibtex]
2009(14)
[120]Lei TangXufei WangHuan LiuUncoverning Groups via Heterogeneous Interaction Analysis. 2009. pp.503~512    Cited By 3[Bibtex]
[119]Zheng ZhaoShashvata SharmaNitin AgarwalHuan LiuJiangxin WangYung ChangIntegrating Knowledge in Search of Biologically Relevant Genes. 2009. pp.88~93   [Bibtex]
[118]Nitin AgarwalHuan LiuShankara B. SubramanyaJohn J. SalernoPhilip S. YuConnecting Sparsely Distributed Similar Bloggers. 2009. pp.11~20   [Bibtex]
[117]Lei TangHuan LiuScalable learning of collective behavior based on sparse social dimensions.  CIKM'2009. pp.1107~1116    Cited By 7[Bibtex]
[116]Zheng ZhaoLiang SunShipeng YuHuan LiuJieping YeMulticlass Probabilistic Kernel Discriminant Analysis.  IJCAI'2009. pp.1363~1368    Cited By 1[Bibtex]
[115]Lei TangHuan LiuRelational learning via latent social dimensions.  KDD'2009. pp.817~826    Cited By 12[Bibtex]
[114]Zheng ZhaoHuan LiuSearching for interacting features in subset selection. Intell. Data Anal., 2009: 207~228    Cited By 48[Bibtex]
[113]Huan LiuJohn J. SalernoMichael YoungRakesh AgrawalPhilip S. YuIntroduction to special issue on social computing, behavioral modeling, and prediction. TKDD, 2009.    [Bibtex]
[112]Sai T. MoturuJian YangHuan LiuQuantifying Utility and Trustworthiness for Advice Shared on Online Social Media.  Computers & Electrical Engineering'2009. pp.489~494   [Bibtex]
[111]Zoran ObradovicHuan LiuSpecial issue on the best papers of SDM'09. Statistical Analysis and Data Mining, 2009: 291~293   [Bibtex]
[110]Huan LiuZheng ZhaoManipulating Data and Dimension Reduction Methods: Feature Selection.  ACM SIGMICRO Newsletter, 2009: 5348~5359    Cited By 8[Bibtex]
[109]Payam RefaeilzadehLei TangHuan LiuCross-Validation.  Theory of Computing Systems, 2009: 532~538   [Bibtex] [PDF]
[108]Nitin AgarwalHuan LiuTrust in Blogosphere.  Theory of Computing Systems, 2009: 3187~3191   [Bibtex]
[107]Nitin AgarwalHuan LiuModeling and Data Mining in Blogosphere. null: Applied Intelligence, 2009.     Cited By 3[Bibtex]
2008(14)
[106]Shankara B. SubramanyaHuan LiuSocialtagger - collaborative tagging for blogs in the long tail.  SSM'2008. pp.19~26    Cited By 2[Bibtex]
[105]Nitin AgarwalMagdiel Galan OliverasHuan LiuShankara B. SubramanyaClustering Blogs with Collective Wisdom.  ICWE'2008. pp.336~339    Cited By 7[Bibtex]
[104]Shankara B. SubramanyaBaoxin LiHuan LiuRobust integration of multiple information sources by view completion.  IRI'2008. pp.398~403    Cited By 1[Bibtex]
[103]Zheng ZhaoJiangxin WangHuan LiuJieping YeYung ChangIdentifying biologically relevant genes via multiple heterogeneous data sources.  KDD'2008. pp.839~847    Cited By 9[Bibtex]
[102]Lei TangHuan LiuJianping ZhangZohreh NazeriCommunity evolution in dynamic multi-mode networks.  KDD'2008. pp.677~685    Cited By 30[Bibtex]
[101]Jieping YeKewei ChenTeresa WuJing LiZheng ZhaoRinkal PatelMin BaeRavi JanardanHuan LiuGene AlexanderEric ReimanHeterogeneous data fusion for alzheimer's disease study.  KDD'2008. pp.1025~1033    Cited By 7[Bibtex]
[100]Wai Kit WongDavid W. CheungEdward HungHuan LiuProtecting Privacy in Incremental Maintenance for Distributed Association Rule Mining.  PAKDD'2008. pp.381~392    Cited By 2[Bibtex]
[99]Nitin AgarwalHuan LiuLei TangPhilip S. YuIdentifying the influential bloggers in a community.  WSDM'2008. pp.207~218    Cited By 65[Bibtex]
[98]Sai T. MoturuHuan LiuWilliam G. JohnsonHealthcare Risk Modeling for Medicaid Patients - The Impact of Sampling on the Prediction of High-Cost Patients.  HEALTHINF (1)'2008. pp.126~133    Cited By 1[Bibtex]
[97]Nitin AgarwalHuan LiuBlogosphere: research issues, tools, and applications. SIGKDD Explorations, 2008: 18~31    Cited By 22[Bibtex]
[96]Lei TangHuan LiuJianping ZhangNitin AgarwalJohn J. SalernoTopic taxonomy adaptation for group profiling. TKDD, 2008.     Cited By 8[Bibtex]
[95]Shankara B. SubramanyaZheshen WangBaoxin LiHuan LiuCompleting missing views for multiple sources of web media. IJDMMM, 2008: 23~44    Cited By 2[Bibtex]
[94]Manoranjan DashHuan LiuDimensionality Reduction.  Wiley Encyclopedia of Computer Science and Engineering, 2008.     Cited By 1[Bibtex]
[93]Sai T. MoturuHuan LiuWilliam G. JohnsonUnderstanding the Effects of Sampling on Healthcare Risk Modeling for the Prediction of Future High-Cost Patients.  BIOSTEC (Selected Papers)'2008. pp.493~506   [Bibtex]
2007(7)
[92]Jieping YeZheng ZhaoHuan LiuAdaptive Distance Metric Learning for Clustering.  CVPR'2007.     Cited By 12[Bibtex]
[91]Zheng ZhaoHuan LiuSpectral feature selection for supervised and unsupervised learning.  ICML'2007. pp.1151~1157    Cited By 43[Bibtex]
[90]Zheng ZhaoHuan LiuSearching for Interacting Features.  IJCAI'2007. pp.1156~1161    Cited By 48[Bibtex] [PDF]
[89]Gabriel Pui Cheong FungJeffrey Xu YuHuan LiuPhilip S. YuTime-dependent event hierarchy construction.  KDD'2007. pp.300~309    Cited By 9[Bibtex]
[88]Jianhui ChenZheng ZhaoJieping YeHuan LiuNonlinear adaptive distance metric learning for clustering.  KDD'2007. pp.123~132    Cited By 12[Bibtex]
[87]Zheng ZhaoHuan LiuSemi-supervised Feature Selection via Spectral Analysis.  SDM'2007.     Cited By 28[Bibtex]
[86]Sai T. MoturuWilliam G. JohnsonHuan LiuPredicting Future High-Cost Patients: A Real-World Risk Modeling Application.  BIBM'2007. pp.202~208    Cited By 3[Bibtex]
2006(7)
[85]Ping WuJi-Rong WenHuan LiuWei-Ying MaQuery Selection Techniques for Efficient Crawling of Structured Web Sources.  ICDE'2006. pp.47~47    Cited By 43[Bibtex] [PDF]
[84]Gabriel Pui Cheong FungJeffrey Xu YuHaixun WangDavid W. CheungHuan LiuA Balanced Ensemble Approach to Weighting Classifiers for Text Classification.  ICDM'2006. pp.869~873    Cited By 1[Bibtex] [PDF]
[83]Surendra K. SinghiHuan LiuFeature subset selection bias for classification learning.  ICML'2006. pp.849~856    Cited By 19[Bibtex]
[82]Lei TangJianping ZhangHuan LiuAcclimatizing taxonomic semantics for hierarchical content classification from semantics to data-driven taxonomy.  KDD'2006. pp.384~393    Cited By 9[Bibtex]
[81]Jianping ZhangHuan LiuPaul P. WangSome current issues of streaming data mining. Inf. Sci., 2006: 1949~1951    Cited By 2[Bibtex]
[80]K. Selcuk CandanJong Wook KimHuan LiuReshma SuvarnaDiscovering mappings in hierarchical data from multiple sources using the inherent structure. Knowl. Inf. Syst., 2006: 185~210    Cited By 8[Bibtex]
[79]Nitin AgarwalHuan LiuJianping ZhangBlocking objectionable web content by leveraging multiple information sources. SIGKDD Explorations, 2006: 17~26    Cited By 7[Bibtex]
2005(10)
[78]Prabhdeep SinghR. BhimavarapuHasan DavulcuChitta BaralSeungchan KimHuan LiuMichael L. BittnerI. V. RamakrishnanBioLog: A Browser Based Collaboration and Resource Navigation Assistant for BioMedical Researchers.  DILS'2005. pp.19~30    Cited By 1[Bibtex]
[77]Surendra K. SinghiHuan LiuError-Sensitive Grading for Model Combination.  ECML'2005. pp.724~732   [Bibtex]
[76]Kari TorkkolaSrihari VenkatesanHuan LiuSensor Sequence Modeling for Driving.  FLAIRS Conference'2005. pp.721~727    Cited By 8[Bibtex]
[75]Lei TangHuan LiuBias Analysis in Text Classification for Highly Skewed Data.  ICDM'2005. pp.781~784    Cited By 18[Bibtex] [PDF]
[74]Rong JinHuan LiuLearning with Labeled Sessions.  IJCAI'2005. pp.740~745    Cited By 1[Bibtex]
[73]Rong JinHuan LiuA Novel Approach to Model Generation for Heterogeneous Data Classification.  IJCAI'2005. pp.746~751   [Bibtex]
[72]Nitin AgarwalEhtesham HaqueHuan LiuLance ParsonsResearch Paper Recommender Systems: A Subspace Clustering Approach.  WAIM'2005. pp.475~491    Cited By 8[Bibtex]
[71]Jian-Tao SunHua-Jun ZengHuan LiuYuchang LuZheng ChenCubeSVD: a novel approach to personalized Web search.  WWW'2005. pp.382~390    Cited By 118[Bibtex] [PDF]
[70]Huan LiuEdward R. DoughertyJennifer G. DyKari TorkkolaEugene TuvHanchuan PengChris H. Q. DingFuhui LongMichael E. BerensLance ParsonsZheng ZhaoLei YuGeorge FormanEvolving Feature Selection. IEEE Intelligent Systems, 2005: 64~76    Cited By 51[Bibtex]
[69]Huan LiuLei YuToward Integrating Feature Selection Algorithms for Classification and Clustering. IEEE Trans. Knowl. Data Eng., 2005: 491~502    Cited By 443[Bibtex]
2004(10)
[68]Rong JinHuan LiuSWITCH: A Novel Approach to Ensemble Learning for Heterogeneous Data.  ECML'2004. pp.560~562    Cited By 1[Bibtex]
[67]Rong JinHuan LiuRobust feature induction for support vector machines.  ICML'2004.     Cited By 5[Bibtex] [PDF]
[66]Lei YuHuan LiuRedundancy based feature selection for microarray data.  KDD'2004. pp.737~742    Cited By 101[Bibtex] [PDF]
[65]Amit MandvikarHuan LiuHiroshi MotodaCompact Dual Ensembles for Active Learning.  PAKDD'2004. pp.293~297    Cited By 2[Bibtex] [PDF]
[64]Amit MandvikarHuan LiuClass-Specific Ensembles for Active Learning.  SDM'2004.    [Bibtex]
[63]Huan LiuAmit MandvikarJigar ModyAn Empirical Study of Building Compact Ensembles.  WAIM'2004. pp.622~627    Cited By 7[Bibtex]
[62]Huan LiuHiroshi MotodaLei YuA selective sampling approach to active feature selection. Artif. Intell., 2004: 49~74    Cited By 34[Bibtex]
[61]Lei YuHuan LiuEfficient Feature Selection via Analysis of Relevance and Redundancy. Journal of Machine Learning Research, 2004: 1205~1224    Cited By 323[Bibtex]
[60]Patricia G. FoschiHuan LiuActive learning for detecting a spectrally variable subject in color infrared imagery. Pattern Recognition Letters, 2004: 1509~1517    Cited By 2[Bibtex]
[59]Lance ParsonsEhtesham HaqueHuan LiuSubspace clustering for high dimensional data: a review. SIGKDD Explorations, 2004: 90~105    Cited By 289[Bibtex]
2003(7)
[58]Hung V. NguyenP. VelamuruDeepak KolippakkamHasan DavulcuHuan LiuM. AtesMining 'Hidden Phrase' Definitions from the Web.  APWeb'2003. pp.156~165    Cited By 4[Bibtex] [PDF]
[57]Lei YuHuan LiuFeature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution.  ICML'2003. pp.856~863    Cited By 277[Bibtex] [PDF]
[56]Huan LiuAmit MandvikarPatricia G. FoschiKari TorkkolaActive Learning with Ensembles for Image Classification.  IJCAI'2003. pp.1435~1436    Cited By 3[Bibtex] [PDF]
[55]Lei YuHuan LiuEfficiently handling feature redundancy in high-dimensional data.  KDD'2003. pp.685~690    Cited By 25[Bibtex] [PDF]
[54]Huan LiuLei YuManoranjan DashHiroshi MotodaActive Feature Selection Using Classes.  PAKDD'2003. pp.474~485    Cited By 16[Bibtex] [PDF]
[53]Manoranjan DashHuan LiuConsistency-based search in feature selection. Artif. Intell., 2003: 155~176    Cited By 118[Bibtex]
[52]Manoranjan DashHuan LiuPeter ScheuermannKian-Lee TanFast hierarchical clustering and its validation. Data Knowl. Eng., 2003: 109~138    Cited By 15[Bibtex] [PDF]
2002(7)
[51]Manoranjan DashKiseok ChoiPeter ScheuermannHuan LiuFeature Selection for Clustering - A Filter Solution.  ICDM'2002. pp.115~122    Cited By 205[Bibtex] [PDF]
[50]Huan LiuHiroshi MotodaLei YuFeature Selection with Selective Sampling.  ICML'2002. pp.395~402    Cited By 43[Bibtex] [PDF]
[49]Patricia G. FoschiDeepak KolippakkamHuan LiuAmit MandvikarFeature Extraction for Image Mining.  Multimedia Information Systems'2002. pp.103~109    Cited By 25[Bibtex]
[48]Zheng ChenFan LinHuan LiuWei-Ying MaLiu WenyinUser Intention Modelling in Web Applications Using Data Mining. World Wide Web, 2002: 181~192   [Bibtex]
[47]Huan LiuHiroshi MotodaOn Issues of Instance Selection. Data Min. Knowl. Discov., 2002: 115~130    Cited By 59[Bibtex]
[46]Huan LiuFarhad HussainChew Lim TanManoranjan DashDiscretization: An Enabling Technique. Data Min. Knowl. Discov., 2002: 393~423    Cited By 278[Bibtex]
[45]Dimuthu Prasanna MakawitaKian-Lee TanHuan LiuSampling from databases using B^+-Trees. Intell. Data Anal., 2002: 359~377    Cited By 4[Bibtex]
2001(10)
[44]Manoranjan DashHuan LiuX. Xu1 + 1 2': Merging Distance and Density Based Clustering.  DASFAA'2001. pp.32~39    Cited By 22[Bibtex]
[43]Baohua GuBing LiuFeifang HuHuan LiuEfficiently Determine the Starting Sample Size for Progressive Sampling.  DMKD'2001.    [Bibtex] [PDF]
[42]Baohua GuBing LiuFeifang HuHuan LiuEfficiently Determining the Starting Sample Size for Progressive Sampling.  ECML'2001. pp.192~202    Cited By 14[Bibtex]
[41]Manoranjan DashKian-Lee TanHuan LiuEfficient Yet Accurate Clustering.  ICDM'2001. pp.99~106    Cited By 5[Bibtex] [PDF]
[40]Manoranjan DashHuan LiuEfficient Hierarchical Clustering Algorithms Using Partially Overlapping Partitions.  PAKDD'2001. pp.495~506    Cited By 13[Bibtex]
[39]Baohua GuFeifang HuHuan LiuModelling Classification Performance for Large Data Sets.  WAIM'2001. pp.317~328    Cited By 3[Bibtex]
[38]Catherine W. WenHuan LiuWilson X. WenJeffery ZhengA Distributed Hierarchical Clustering System for Web Mining.  WAIM'2001. pp.103~113    Cited By 7[Bibtex]
[37]Zonglin ZhouHuan LiuStan Z. LiChin-Seng ChuaRule mining with prior knowledge - a belief networks approach. Intell. Data Anal., 2001: 95~110    Cited By 8[Bibtex]
[36]K. Selcuk CandanHuan LiuReshma SuvarnaResource Description Framework: Metadata and Its Applications. SIGKDD Explorations, 2001: 6~19    Cited By 41[Bibtex]
[35]Huan LiuHongjun LuJun YaoToward Multidatabase Mining: Identifying Relevant Databases. IEEE Trans. Knowl. Data Eng., 2001: 541~553    Cited By 25[Bibtex] [PDF]
2000(6)
[34]Zonglin ZhouHuan LiuStan Z. LiRule Mining via Learning Belief Networks.  Artificial Intelligence and Soft Computing'2000. pp.217~221    Cited By 1[Bibtex]
[33]Dimuthu Prasanna MakawitaKian-Lee TanHuan LiuSampling from Databases Using B+-Trees.  CIKM'2000. pp.158~164    Cited By 4[Bibtex]
[32]Manoranjan DashHuan LiuFeature Selection for Clustering.  PAKDD'2000. pp.110~121   [Bibtex] [PDF]
[31]Farhad HussainHuan LiuEinoshin SuzukiHongjun LuException Rule Mining with a Relative Interestingness Measure.  PAKDD'2000. pp.86~97    Cited By 88[Bibtex]
[30]Manoranjan DashHuan LiuHiroshi MotodaConsistency Based Feature Selection.  PAKDD'2000. pp.98~109    Cited By 55[Bibtex] [PDF]
[29]KianSing NgHuan LiuCustomer Retention via Data Mining. Artif. Intell. Rev., 2000: 569~590    Cited By 42[Bibtex]
1999(5)
[28]Huan LiuHongjun LuMining Weak Rules.  COMPSAC'1999. pp.309~309   [Bibtex]
[27]Manoranjan DashHuan LiuHiroshi MotodaFeature Selection Using Consistency Measure.  Discovery Science'1999. pp.319~320    Cited By 2[Bibtex]
[26]Manoranjan DashHuan LiuHandling Large Unsupervised Data via Dimensionality Reduction.  1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery'1999.     Cited By 19[Bibtex] [PDF]
[25]Huan LiuHongjun LuLing FengFarhad HussainEfficient Search of Reliable Exceptions.  PAKDD'1999. pp.194~203    Cited By 60[Bibtex] [PDF]
[24]Rudy SetionoHuan LiuA connectionist approach to generating oblique decision trees. IEEE Transactions on Systems, Man, and Cybernetics, Part B, 1999: 440~444    Cited By 16[Bibtex]
1998(9)
[23]Huan LiuRudy SetionoFeature Transformation and Multivariate Decision Tree Induction.  Discovery Science'1998. pp.279~290    Cited By 8[Bibtex]
[22]Huan LiuHiroshi MotodaManoranjan DashA Monotonic Measure for Optimal Feature Selection.  ECML'1998. pp.101~106    Cited By 55[Bibtex] [PDF]
[21]Huan LiuHongjun LuJun YaoIdentifying Relevant Databases for Multidatabase Mining.  PAKDD'1998. pp.210~221    Cited By 38[Bibtex] [PDF]
[20]Ying LuHuan LiuChew Lim TanCFMD: A Conflict-Free Multivariate Discretization Algorithm.  PAKDD'1998. pp.397~398   [Bibtex]
[19]Manoranjan DashHuan LiuHybrid Search of Feature Subsets.  PRICAI'1998. pp.238~249    Cited By 22[Bibtex]
[18]KianSing NgHuan LiuHweeBong KwahA Data Mining Application: Customes Retention at the Port of Singapore Authority (PSA).  SIGMOD Conference'1998. pp.522~525   [Bibtex]
[17]Huan LiuRudy SetionoIncremental Feature Selection. Appl. Intell., 1998: 217~230    Cited By 52[Bibtex]
[16]Rudy SetionoHuan LiuAnalysis of Hidden Representations by Greedy Clustering. Connect. Sci., 1998: 21~42    Cited By 3[Bibtex]
[15]Huan LiuHiroshi MotodaGuest Editors' Introduction: Feature Transformation and Subset Selection. IEEE Intelligent Systems, 1998: 26~28    Cited By 37[Bibtex]
1997(4)
[14]Rudy SetionoHuan LiuNeuroLinear: A System for Extracting Oblique Decision Rules from Neural Networks.  ECML'1997. pp.221~233    Cited By 11[Bibtex]
[13]Manoranjan DashHuan LiuFeature Selection for Classification. Intell. Data Anal., 1997: 131~156    Cited By 879[Bibtex]
[12]Rudy SetionoHuan LiuNeuroLinear: From neural networks to oblique decision rules. Neurocomputing, 1997: 1~24    Cited By 66[Bibtex]
[11]Huan LiuRudy SetionoFeature Selection via Discretization. IEEE Trans. Knowl. Data Eng., 1997: 642~645    Cited By 120[Bibtex]
1996(6)
[10]Huan LiuRudy SetionoA Probabilistic Approach to Feature Selection - A Filter Solution.  ICML'1996. pp.319~327    Cited By 290[Bibtex] [PDF]
[9]Huan LiuRudy SetionoFeature Selection and Classification - A Probabilistic Wrapper Approach.  IEA/AIE'1996. pp.419~424    Cited By 76[Bibtex] [PDF]
[8]Rudy SetionoHuan LiuImproving Backpropagation Learning with Feature Selection. Appl. Intell., 1996: 129~139    Cited By 19[Bibtex]
[7]Rudy SetionoHuan LiuSymbolic Representation of Neural Networks. IEEE Computer, 1996: 71~77    Cited By 137[Bibtex]
[6]Huan LiuRudy SetionoDimensionality reduction via discretization. Knowl.-Based Syst., 1996: 67~72    Cited By 25[Bibtex]
[5]Hongjun LuRudy SetionoHuan LiuEffective Data Mining Using Neural Networks. IEEE Trans. Knowl. Data Eng., 1996: 957~961    Cited By 192[Bibtex] [PDF]
1995(4)
[4]Hongjun LuRudy SetionoHuan LiuTowards Effective Classfication Rule Extraction (Abstract).  KDOOD/TDOOD'1995. pp.47~49   [Bibtex]
[3]Rudy SetionoHuan LiuUnderstanding Neural Networks via Rule Extraction.  IJCAI'1995. pp.480~487    Cited By 78[Bibtex] [PDF]
[2]Hongjun LuRudy SetionoHuan LiuNeuroRule: A Connectionist Approach to Data Mining.  VLDB'1995. pp.478~489    Cited By 121[Bibtex]
[1]Huan LiuChris D. RowlesWilson X. WenCritics for Knowledge-Based Design Systems. IEEE Trans. Knowl. Data Eng., 1995: 740~750   [Bibtex]