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  • 2019 Spring: tkBƮwtΡBTMDBData Mining in Social Network(|ڬs;ǵ{)
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  • 2016 Fall: ƱɡBhCtΡBData Mining in Social Network(|ڬs;ǵ{)
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    • C. T.  Li, C. T. Hsu, and M. K. Shan (2018) A Cross-Domain Recommendation Mechanism for Cold-Start Users Based on Partial Least Squares Regression. ACM Transactions on Intelligent Systems and Technology, 9(6).
    • C.T. Li, M. K. Shan, S. H. Hong, and K. C. Chou (2016), Exploiting Concept Drift to Predict Popularity of Social Multimedia in Microblogs, Information Sciences, 339(c).
    • C. T. Li, C. J. Huang, and Man-Kwan Shan (2015), Automatic Generation of Visual Story for Fairy Tales with Digital Narrative. Journal of Web Intelligence and Agent Systems, 13(2).
    • C. T. Li, M. K. Shan, and S. D. Lin (2015), On Team Formation with Expertise Query in Collaborative Social Networks, Knowledge and Information Systems, 42(2).
    • M. F. Chiang, J. J. Liou, J. L. Wang, W. C. Peng, M. K. Shan (2013), Exploring Heterogeneous Information Networks and Random Walk with Restart for Academic Search, Knowledge and Information Systems, 36(1).
    • S. C. Chiu, J. L. Huang, and M. K. Shan (2012), Towards an Automatic Music Arrangement Framework Using Score Reduction, ACM Transactions on Multimedia Computing, Communications and Applications, Vol. 8, No. 1.
    • M. K. Shan, and L. Y. Wei (2010), Algorithms for Discovery of Spatial Co-orientation Patterns from Images, Expert Systems with Applications, Vol. 37, No. 8.
    • M. K. Shan, and S. C. Chiu (2010), Algorithmic Compositions Based on Discovered Musical Patterns, Multimedia Tools and Applications, Vol. 46, No. 1.
    • M. K. Shan (2009), Discovering Color Styles from Fine Art Images of Impressionism, International Journal of Computer Science and Security, Vol. 3, No. 4.
    • J. Gao, C. J. Chu, and M. K. Shan (2009), Social Network Mining from Historical Documents: by Example during Qianlongs Reign, IICM Communication, Vol. 11, No. 4.
    • M. K. Shan, F. F. Kuo, M. F. Chiang, and S. Y. Lee (2009), Emotion-based Music Recommendation by Affinity Discovery from Film Music, Expert Systems with Applications, Vol. 36, No.4.
    • M. K. Shan, M. F. Chiang, and F. F. Kuo (2008), Relevance Feedback for Category Search in Music Retrieval Based on Semantic Concept Learning, Multimedia Tools and Applications, Vol. 39, No. 2.
    • H. F. Li, M. K. Shan, and S. Y. Lee (2008), DSM-FI: An Efficient Algorithm for Mining Frequent Itemsets in Data Streams, Knowledge and Information Systems: An International Journal, Vol. 17, No, 1.
    • H. F. Li, S. Y. Lee, and M. K. Shan (2006), DSM-PLW: Single-Pass Mining of Path Traversal Patterns over Streaming Web Click-Sequences, Computer Networks: Special Issue on Web Dynamics, Vol. 50, Issue 10, 2006.
    • H. F. Li, S. Y. Lee, and M. K. Shan (2005), Online Mining Maximal Frequent Structures in Continuous Landmark Melody Streams, Pattern Recognition Letters, Vol. 26, Issue 11, 2005.
    • H. F. Li, S. Y. Lee, and M. K. Shan (2005), Online Mining Changes of Items over Continuous Append-only and Dynamic Data Streams, Journal of Universal Computer Science: Special Issue on Knowledge Discovery in Data Streams, Vol. 11, No. 8, 2006.
    • F. R. Hsu, M. K. Shan, H. L. Peng and F. M. Hsu (2004), Fault-Tolerant Pattern Mining of Exon Skipped Sequences from Alternative Splicing Database, Journal of Computers, Vol. 16, No. 3, 2004.
    • F. R. Hsu, and M. K. Shan (2003), Parallel Algorithms for Finding the Center of Interval and Circular-Arc Graphs, IEICE Transactions on Fundamentals of Electronics, Communications, and Computer Sciences, Vol. E86-A, No. 10, 2003.
    • M. K. Shan, and F. F. Kuo (2003), Music Style Mining and Classification by Melody, IEICE Transactions on Information and Systems, Vol. E86-D, No. 4, 2003.
    • M. K. Shan and S. Y. Lee (2001), A Framework for Similarity Measures of Content-based Video Retrieval, Pattern Recognition Letters, Vol. 22, pp. 517-532.
    • M. K. Shan and S. Y. Lee (1999), Allocation of Signature File on Parallel Devices For WWW Index Servers, Journal of Information Science and Engineering, Vol. 15, No. 2, pp. 199-215.
    • M. K. Shan and S. Y. Lee (1998), Placement of Partitioned Signature Files and Its Performance Analysis, Information Science: An International Journal, Vol. 104, No. 3 and 4, pp. 321-344.
    • M. K. Shan and S. Y. Lee (1998), Dynamic Allocation of Signature File on Parallel Devices, Information Systems, Vol. 23, No. 7, pp. 489-508.
    • M. K. Shan and S. Y. Lee (1998), Multidimensional Filter: A New Indexing Method for Subpicture Query of Image Retrieval, Pattern Recognition Letters, Vol. 19, pp. 1241-1255.
    • S. Y. Lee and M. K. Shan (1990), Access Methods of Image Database, International Journal of Pattern Recognition and Artificial Intelligence, Vol. 4, No. 1, pp.27-44.
    • S. Y. Lee, M. K. Shan and W. P. Yang (1989), Similarity Retrieval of Iconic Image Database, Pattern Recognition, Vol. 22, No. 6, pp. 675-682.
  • ڷ|ijפ
    • T. W. Lin, and M. K. Shan (2019), Spatial-temproal Correlation Modeling of  Community-based Air Monitoring Sensor Network, International Workshop on Data Science for Social Goods,  in conjunction with The Web Conference, San Francisco, USA.                                                                   
    • S. Y. Peng, V. S. M. Tseng, C. W. Liang, and M. K. Shan (2018), Emerging Product Topics Prediction in Social Media without Social Structure Information, 6th International Workshop on Natural Language Processing for Social Media, in conjunction with WWW 2018, Lyon, France.
    • T. W. Lin, and M. K. Shan (2017), Correlation-based Background Music Recommendation by Incorporating Temporal Sequence of Local Features, IEEE International Conference on Multimedia Big Data,  Laguna Hills, CA.
    • H. Su, T. W. Lin, C. T. Li, M. K. Shan, and J. Chang (2014), Automatic Recipe Cuisine Classification by Ingredients. 6th International Workshop on Smart Technology for Cooking and Eating Activities, in conjunction with ACM UbiComp, Seattle, Washington.
    • S. H. Jheng, C. T. Li, and M. K. Shan (2013), Popularity Prediction of Social Multimedia Based on Concept Drift. IEEE International Conference on Social Computing (SocialCom'13), Washington D.C., USA.
    • C. T. Li and M. K. Shan (2013). X2-Search: Contextual Expert Search in Social Networks. The 2013 International Conference on Technologies and Applications of Artificial Intelligence (TAAI'13), Taipei, Taiwan.
    • C. J. Huang, C. T. Li, and M. K. Shan (2013), VizStory: Visualization of Digital Narrative for Fairy Story. The 2013 International Conference on Technologies and Applications of Artificial Intelligence (TAAI'13), Taipei, Taiwan.
    • F. F. Kuo, M. K. Shan, and S. Y. Lee (2013), Background Music Recommendation for Video based on Multimodal Latent Semantic Analysis, IEEE International Conference on Multimedia and Expo. ICME'13, San Jose, CA.
    • F. F. Kuo, C. T. Li, and M. K. Shan (2012), Intelligent Menu Planning: Recommending Sets of Recipes by Ingredients, 4th ACM International Workshop on Multimedia for Cooking and Eating Activities in conjunction with the ACM International Conference on Multimedia 2012, Nara, Japan.
    • C. T. Li and M. K. Shan (2012), Composing Activity Groups in Social Networks, ACM International Conference on Information and Knowledge Management CIKM'12, Mauri, Hawaii.
    • C. T. Li, M. K. Shan and S. D. Lin (2012), The Regional Social Network Retrieval Problem, 21th World Wide Web Conference, Lyon, France.
    • C. T. Li, M. K. Shan and S. D. Lin (2012), Dynamic Selection of Activation Targets to Boost the Influence Spread in Social Networks, 21th World Wide Web Conference, Lyon, France.
    • C. T. Li, M. K. Shan and S. D. Lin (2012), Influence Propagation and Maximization for Heterogeneous Social Networks, 21th World Wide Web Conference, Lyon, France.
    • C. T. Li, S. D. Lin and M. K. Shan (2012), Finding Influential Seed Successors in Social Networks, 21th World Wide Web Conference, Lyon, France.
    • F. H. Li, C. T. Li, and M. K. Shan (2011), Labeled Influence Maximization in Social Networks for Target Marketing, IEEE International Conference on Social Computing SocialCom, Boston, MA.
    • C. T. Li, M. K. Shan and S. D. Lin (2011), Context-based People Search in Attributed Social Networks, ACM International Conference on Information and Knowledge Management CIKM'11, Glasgow, Scotland, UK.
    • C. T. Li, S. D. Lin and M. K. Shan (2011), Exploiting Endorsement Information and Social Influence for Item Recommendation, ACM SIGIR International Conference on Research and Development in Information Retrieval, Bejing, China.
    • C. T. Li, S. D. Lin and M. K. Shan (2011), Finding Influential Mediators in Social Networks, 20th World Wide Web Conference, Hyderabad, India.
    • C. T. Li, and M. K. Shan (2010), Team Formation for Generalized Tasks in Expertise Social Networks, IEEE International Conference on Social Computing SocialCom, Minneapolis, MN.
    • S. C. Chiu, M. K. Shan, J. L. Huang (2009), Automatic System for the Arrangement of Piano Reductions, IEEE International Workshop on Advances in Music Information Research AdMIRE, San Diego, CA.
    • K. C. Lee, and M. K. Shan (2009), Discovering Political Tendency in Bulletin Board Discussions by Social Community Analysis, 4th IEEE International Conference on Digital Information Management ICDIM, Ann Arbor, MI.
    • S. C. Chiu, M. K. Shan, J. L. Huang, and H. F. Li (2009), Mining Polyphonic Repeating Patterns from Music Data Using Bit-String Based Approaches, IEEE International Conference on Multimedia and Expo ICME, New York, NY.
    • C. T. Li, and M. K. Shan (2008), Affective Space Exploration for Impressionism Paintings, Pacific-Rim Conference on Multimedia PCM, Tainan, Taiwan.
    • C. T. Li, and M. K. Shan (2007), Emotion-based Impressionism Slideshow with Automatic Music Accompaniment, ACM SIGMM International Conference on Multimedia, Augsburg, Germany.
    • L. Y. Wei, and M. K. Shan (2007), Mining Temporal Co-orientation Patterns from Spatio-temporal Databases, 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining PAKDD, Nanjing, China.
    • H. F. Li, M. K. Shan, and S. Y. Lee (2006), Detecting Changes in User-Centered Music Query Streams, IEEE International Conference on Multimedia and Expo ICME, Toronto, Canada.
    • H. F. Li, C. C. Ho, M. K. Shan, and S. Y. Lee (2006), Online Mining of Recent Music Query Streams, IEEE International Conference on Multimedia and Expo ICME, Toronto, Canada. (EI)
    • H. F. Li, M. K. Shan, and S. Y. Lee (2006), Online Mining of Frequent Query Trees over Data Streams, 15th World Wide Web Conference WWW, Edinburgh, Scotland.
    • H. F. Li, C. C. Ho, M. K. Shan, and S. Y. Lee (2006), Efficient Maintenance and Mining of Frequent Itemsets over Online Data Streams with a Sliding Window, IEEE International Conference on Systems, Man, and Cybernectics SMC, Taipei, Taiwan.
    • L. Y. Wei, and M. K. Shan (2006), Efficient Mining of Spatial Co-orientation Patterns from Image Databases, IEEE International Conference on Systems, Man, and Cybernectics SMC, Taipei, Taiwan.
    • S. C. Chiu, and M. K. Shan (2006), Computer Music Composition Based on Discovered Music Patterns, IEEE International Conference on Systems, Man, and Cybernectics SMC, Taipei, Taiwan.
    • Y. W. Chiu, F. R. Hsu, and M. K. Shan (2006), Comparative Analysis of Exon Skipping Patterns in Human and Mouse, 4th International Workshop on Biological Data Management, DEXA, Krakow, Poland.
    • L. Y. Wei, and M. K. Shan (2006), Mining Spatial Co-orientation Patterns for Analyzing Portfolios of Spatial Cognitive Development, 6th IEEE International Conference on Advanced Learning Technologies ICALT, Kerkrade, Netherlands.
    • F. F. Kuo, M. F. Chiang, M. K. Shan and S. Y. Lee (2005), Emotion-based Music Recommendation based on Association Discovery from Film Music, ACM SIGMM International Conference on Multimedia, Singapor.
    • H. F. Li, S. Y. Lee, and M. K. Shan (2005), Online Mining (Recently) Maximal Frequent Itemsets over Data Streams, 15th IEEE International Workshop on Research Issues on Data Engineering RIDE, Tokyo, Japan.
    • W. T. Chen, J. C. Yen and M. K. Shan (2005), Integration of Transfer of Learning to the Adaptive Learning Environment, 5th IEEE International Conference on Advanced Learning Technologies ICALT, Kaohsiung, Taiwan .
    • H. F. Li, S. Y. Lee, and M. K. Shan (2004), On Mining Webclick Streams for Path Traversal Patterns, 13th World Wide Web Conference WWW, New York.
    • H. F. Li, S. Y. Lee, and M. K. Shan (2004), Mining Frequent Closed Structures in Streaming Melody Sequences, IEEE International Conference on Multimedia and Expo ICME, Taipei, Taiwan.
    • F. F. Kuo, and M. K. Shan (2004), Looking for New, Not Known Music Only: Music Retrieval by Melody Style, ACM/IEEE Joint Conference on Digital Libraries JCDL, Tucson, Arizona.
    • H. F. Li, S. Y. Lee, and M. K. Shan (2004) An Efficient Algorithm for Mining Frequent Itemsets over the Entire History of Data Streams, First International Workshop on Knowledge Discovery in Data Streams, in conjunction with the 15th European Conference on Machine Learning ECML and the 8th European Conference on the Principals and Practice of Knowledge Discovery in Databases PKDD, Pisa, Italy.
    • Z. X. Liao, and M. K. Shan (2004), Algorithms for Discovery of Frequent Superset, Rather Than Subset, International Conference on Data Warehouse and Knowledge Discovery DaWaK, Zaragoza, Spain.
    • H. F. Li, S. Y. Lee, and M. K. Shan (2004), Mining Maximal Frequent Itmesets in Data Streams, Proc. of 2004 International Computer Symposium ICS, Taipei, Taiwan. (Best Paper Award)
    • M. F. Chiang, M. K. Shan, and C. C. Lan (2004), Rhythm Style Mining of Dance Music, International Computer Symposium ICS, Taipei, Taiwan.
    • F. F. Kuo, and M. K. Shan (2002), A Personalized Music Filtering System Based on Melody Style Classification, IEEE International Conference on Data Mining ICDM, Japan.
    • M. K. Shan, F. F. Kuo, and M. F. Chen (2002), Music Style Mining and Classification by Melody, IEEE International Conference on Multimedia and Expo ICME, Switzerland.
    • M. F. Chen and M. K. Shan (2002),Virtual Mall of E-commerce Web Sites: User Behavior Analyses and Recommendations, 4th International Conference on Enterprise Information Systems, Ciudad Real, Spain.
    • M. K. Shan and H. F. Li (2002), Fast Discovery of Structure Navigation Patterns from Web User Traversals, SPIE Conference on Data Mining and Knowledge Discovery: Theory, Tools, and Technology IV, Orlando, Florida, USA.
    • H. F. Li and M. K. Shan (2002), PNP: Mining of Profile Navigational Patterns, SPIE Conference on Data Mining and Knowledge Discovery: Theory, Tools, and Technology IV, Orlando, Florida, USA.
    • M. K. Shan and S. Y. Lee (1998), Content-Based Similarity Measures for Video Based on Similarity of Frame Sequence, IEEE IW-MMDBMS98 International Workshop on Multimedia Data Base Management Systems, Dayton, Ohio.
    • M. K. Shan and S. Y. Lee (1998), Content-Based Video Retrieval via Motion Trajectories, SPIE Photonics98 Conference on Electronic Imaging and Multimedia Systems II, Beijing, China.
    • H. C. Lin, M. F. Shen, S. Y. Lee and M. K. Shan (1998), Parsing and Browsing of Video Data for Video-On-Demand Services, IEEE ISCE98 International Symposium on Consumer Electronics: Digital Video and Multimedia Technology.
    • S. S. Ho, H. C. Lin, M. K. Shan and S. Y. Lee (1997), News Video Databases System, International Conference on Computer System Technology for Industrial Applications97, HsinChu, Taiwan.
    • M. K. Shan and S. Y. Lee (1995), Dynamic Allocation of Signature File for Multimedia Document Using Parallel Devices, ACM SIGIR95 the 18th International ACM SIGIR Conference on Research and Development in Information Retrieval, Seattle, WA.
    • M. K. Shan and S. Y. Lee (1994), Placement of Signature File for Parallel Retrieval of Image Databases, IS&T/SPIE Storage and Retrieval for Image and Video Databases II, San Jose, CA.
    • M. K. Shan and S. Y. Lee (1994), Clustering of Partitioned Signature File, International Computer Symposium, HsinChu, Taiwan, ROC.
    • S. Y. Lee, M. K. Shan and W. P. Yang (1989), Similarity Retrieval of Iconic Images based on 2D String Longest Common Subsequence, International Symposium on Database Systems for Advanced Applications, Seoul, Korea.
    • S. Y. Lee and M. K. Shan (1988), Iconic Indexing and Retrieval of Image Database, International Computer Symposium, Taipei, Taiwan, ROC.
  • ꤺ|ijפ
    • M. C. Yu, H. M. Yu, and M. K. Shan (2009), Narrative Analysis of Films Based on Social Network Analysis, 14th Conference on Artificial Intelligence and Applications TAAI, Taichung, Taiwan.
    • M. K. Shan (2009), Melodic Motivic Analysis for Music Education, International Workshop on Multimedia Technology for Education IWMTE, Taipei, Taiwan.
    • J. Gao, C. J. Chu, and M. K. Shan (2008), Social Network Mining from Historical Documents: by Example during Qianlongs Reign, 13th Conference on Artificial Intelligence and Applications TAAI, Taichung, Taiwan.
    • D. C. Chou and M. K. Shan (2002), A Personalized Categorization of E-News System, 2002 Symposium on Digital Life and Internet Technologies, Tainan, Taiwan.
    • M. J. Ho and M. K. Shan (2002), A Personalized Music Retrieval System, 2002 Symposium on Digital Life and Internet Technologies, Tainan, Taiwan.
    • H. F. Li and M. K. Shan (2000), Mining Non-Simple Traversal Paths from Web Access Logs, 2000 Workshop on Internet and Distributed Systems, Tainan, Taiwan.
    • Y. C. Chen, J. H. Hwang and M. K. Shan (1987), Design and Implementation of Non-procedural Chinese Financial Modeling Language, National Computer Symposium, Taiwan.
  • Mѽפ
    • Man-Kwan Shan (2001), Signature Files, Parallel Signature Files and Applications of Signature Files, Encyclopedia of Microcomputers, Vol. 27, Supplement 6, Marcel Dekker, Inc., New York.

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  • NvƮwøe汴 (|NSC 90-2213-E-004-005)
  • qltΤӤHƧ޳N]pP@ (|NSC 89-2218-E-004-007)
  • ƦϮ]ve^^X (|NSC 89-2213-E-004-005)
  • TTtΤTeۦ^ (|NSC 88-2213-E-004-006)

ѻPspe

  • |ǦX@peGhC餬ʦTtΤo
  • YɩʦhCƮwtΤs
  • hϺЬ[cWhCƦss
  • ƦT޲ztΤs
  • hCHSxɬ^ks
  • ƮwHSxɬ^ks
  • vƮwtΪ]pP

ɺӤhZǥ

  • شI Ҽ{cϥΪ̺C欰s(juդh, }nj)
  • ҵq ͪǦC(xWjj, SO)
  • lk NvC⭷汴ɤs(su)
  • g vƮwŶY(x_Ǥj)
  • ZI qjMd߬DzOntology(uLu)
  • ֩y ldߪ޵c]p(xj|p)
  • ڵ QΩMͯSxɭֱ۫ߦs(juդh, Yahoo!, Google)
  • jv ѥyTɾdzNs쪺׸T(عqH)
  • V IJv`WXɺtks(juդh, Yahoo!)
  • s ܩʱXƮw{ǦCe˦(xWjj)
  • ɿ[ HDD¦ֵcʤR(E, MTI Lab., Level Home)
  • h Hɤּ˦@q֧@s(juդh, s|Ф, غ)
  • @ XPƽשAʤƾDz߼ҫs(s|T, )
  • d ѰOɤu@y{s(²ql)
  • s ھڷDzߵoiHeD֬dߤ^X(juդh, s[Y޲zj)
  • ax Qt^XѷjM۰ʬd߭ץ(Fq)
  • ΦbŶ{oiDz߾{RIJvŶɺtk(juդh, 104HOȦ)
  • Hv ֦۰ʽss(IhdqT)
  • az ھڹqvkıTPp(IhdqT)
  • ӤHƼsi˨t(, عqH)
  • } ө@̨P˪dzNmjM(, ۸T)
  • T IJvɺtƭЩʼ˦tk(xnq)
  • FN ѥvƤɾvHHߺGHɴ()
  • s H⪺|¦qvԨƵcR(FjǰȳB)
  • Ѧw ӤHqϥΪ̾ާ@Ҥֱ(Yahoo!)
  • פ VizStoryGıƼƦ쵣ܬG(sq)
  • B ѥvƤ¾x~GHdɴ(A)
  • ˨ ¾x~Qδ`Ǧ@{˦ɤHߺ(, Fjp)
  • ɦp ӷ~y{޲zE_u㤧]pP@(, ²ql)
  • ɬ HƱɧ޳N@p~HΫOҶUڤHιw(, ]ΪkHp~HΫOҰ)
  • k QμҪ|vTO̤jƹFؼЦsiP(Yahoo!ߡBYahoo!, ɪ)
  • Զ{ ʺAsҹw(FUHU, ikala)
  • e QκʬκïqCOɭӤHƮȹC{(n)
  • V ػyy歵֤RPcftƤPPB(Ͷլ)
  • f өDx}Ѥػyy歵֦R(A) @
  • @ 󷧩ƲɪshC餧{׹w(Yahoo!ߡBYahoo!)
  • jsWζΦMapReducetk(, عqH)
  • ޳a XsB⤧hivd(, عqH)
  • i @ӷsfֳЧ@g-zWtε{(Ʀ줺eǵ{, Mؤjǥ洫ǥ, )
  • ӳ yy歵֪NR(Ʀ줺eǵ{, Yahoo!, Indivox, KKbox, OurSong)
  • m ѷjMϥΰOɻPɧǬhqd(, Yahoo!, Houzz)
  • y GithubMa˨t(, Ͷլ)
  • ئ ѤƤƦƤΦs(Ʀ줺eǵ{)
  • @q ʺ]GBιϤpɪʺj(, ꤤsj)
  • f BΪ|޳NѤ嶰[GHsC~ (A, s)
  • x HƬǧ޳Ni¾欰R(, 104HOȦ)
  • ģ ѭиƱɮƲzSx˦(, ƻȦ)
  • ˦p ѵػyyqɺqSx˦(, Cloudmosa, Kent)
  • hs ȹC{۰ʳWtΪ]pP@()
  • G ArduinoPʸ˸m(b¾AM)
  • ɵ HNzHҫwṉXb¾, Fjpb¾)
  • L ھںɪD~PRu(, 104HOȦ)
  • Z ʼsi(, عqH)
  • ػyy歵֪oi{(, عqH)
  • ^ BκʷDzߩH[ɧǸƤ۰ʲ`(, ݮH)
  • ζ{ZĹwGHNBAxyBʬ(oN)
  • v QδѧӤHƦvѴѧ(_ʤjǥ洫ǥ)
  • Ů N_lϥΪ̪˾(Ͷլ޹, A)
  • ak ھڭftPNY ]pзjM۰ʧ(SAS, jƳn, ɤs)
  • Ĭv 󭭨sky歵֦R
  • Q XSxǦCvIֱ˾(|ڳդhZǵ{)
  • ۻT ھڮɩ|ƾDz߷ftʥH۰ʤƱ˪A(xFql, @)
  • ؽ hHuW԰v޳Cζ˾(|T, )
  • Өj HƱɧ޳Nwqvt֪ϥήɾ(A)
  • N Bθ󫰥Y˭ӤHƮȹCI (gZ, غ)
  • ʧ `׾Dz߰t֦۰ʥͦ(|, |T)
  • H`׾Dz߱ɺxʦ欰(, عqH)
  • g sCW`bɤRt()
  • h Bβ`׾DzߩsCW`欰
  • ۻ Bβ`׾Dzߩػyy歵ֺq
  • ٥ BέиƱɸƲz(~y)
  • F ŮPɪű
  • H ɶǦC`
  • Ko ػyy歵ֺqɤR
  • ¾ sCWHS豴(wUniversität Konstanz洫ǥ)

ɤjdzMDǥ

  • lk News BoyӤHƹqlt(FjBsu)
  • { yThCjM()
  • wa Hq覡dߤ˯t
  • K Hq覡dߤ˯t(Fq)
  • yThCjM(|jMͱMDsɧUBjuդh)
  • ߤ s欰ɻPR()
  • ZI ϥΪ̦欰RP˨tΤ]pP@(FjBuLu)
  • y ϥΪ̦欰RP˨tΤ]pP@(juBjdzդh, Univ. of Chicago, Natera)
  • yF ֬d߻PѨt(FjBH, Yahoo!)
  • L ֬d߻PѨt(FjBSamsung Research)
  • ɸ Data Mining From Transcription Factor Binding Site Database(uBRb)
  • ŬF MPEG-7NvƮwøe汴ɻPd(MjuBMjuդh)
  • t MPEG-7NvƮwøe汴ɻPd(uBxnq)
  • jv News BoyӤHƹqltβĤGN(FjBعqH)
  • ɿ[ ƭӤHDz߯O֬dߨt(FjBVerizon)
  • ĭ Discovering Frequent Substructures from Semi-structured Data(xjuդh, ڤ)
  • ӵ Fault-tolerant Tree Mining(|jMͱMDsɧUBxjqդh, x_jǸutб)
  • a q޷sDɲ~T(MjuBp)
  • JսǦCSx(MjBOb)
  • \ uWRBz(OLAP)t(¶ެBnsH)
  • YF ܩʱXƮwƱ(|jMͱMDsɧUBBrown University, Natera)
  • hX ھڹmŶӤHƬNv(MjuBFacebook)
  • C ѭ֤ɭָ`s(University of Waterloo)
  • s ѭ֤ɭָ`s(FjBjuդh)
  • ܩʱXƮweǦC(|jMͱMDsɧUBxjuBTs)
  • ܩʱXƮwXAWh(͸BUniversity of Pennsylvaniaդh, DNAnexus)
  • ܩʱXƮw{ǦC୫Ƽ˦(Mju, po)
  • ɴ@ HDD¦ֵcR(University of Bath, Light Fitness, BoniO)
  • ޳ HPѹ]b{ǦC˦ʤR(|jMͱMDsɧUB͸)
  • ` ͪǦC(xjuBxju)
  • ֦۰ʩMft(Hu)
  • Fw QθƱɧ޳NLHe@ft(|jMͱMDsɧUBxjhBxjuդhB|ФߡBjέptб)
  • |欰ɡХHBBSFv(Ohio State University, PlayStudios)
  • x iAssociative classificationĪGs(MjuAs|T)
  • ۷ 3DzϱɫǤ]p椧s(University of FloridaBNeowiz iPhone, Polyvore, Yahoo!)
  • wK Ѭۦdߪ^t(|jMͱMDsɧUBjuBͶլ, ̬)
  • Ż Ѭۦdߪ^t(Fj)
  • ؿ BBSذϦ۰ʾzt(|jMͱMDsɧUBxjuBYahoo!)
  • m BBSذϦ۰ʾzt(juBxnq)
  • Τ ֤jPG֭۰ʧstΤs(|jMͱMDsɧUBtMDworkshopĤTWBjnPֳзNެ)
  • ౨j XGA˹FHmfts(University of NottinghamBu|)
  • Ӧt qv⪺YR(|jMͱMDsɧUBtMDworkshopĤGWBxjެ, xnq)
  • s목|dߨt(Fj)
  • a_ s목|dߨt(|jMͱMDsɧUBFjBF)
  • t aϹFHGBBSTjMsP}o(j)
  • T aϹFHGBBSTjMsP}o(|jMͱMDsɧUBtMDworkshopĤGWBju, R)
  • ͳ Plugle: PlurkjM (u)
  • Plugle: PlurkjM (A, )
  • լ FHiFood 2.0GBBSO(|jMͱMDsɧUBxju, Ʀ)
  • µ Featured Backpacker ItineraryQιCOɱ˭ӤHƮȹC{
  • fq Featured Backpacker ItineraryQιCOɱ˭ӤHƮȹC{(|jMͱMDsɧUBMju)
  • Featured Backpacker ItineraryQιCOɱ˭ӤHƮȹC{
  • Summarization and Visualization of Social Activities on Facebook(xju, بFzuj)
  • հa Summarization and Visualization of Social Activities on Facebook(|jMͱMDsɧUBn[j, Nvidia)
  • eFHGѹqv۰ʲͺetζ}o(Mj, xnq)
  • ӹ R (|jMͱMDsɧUBju)
  • ͵ ֦۰ʦ(xjC)
  • |p eFH(Fj)
  • m eFH(ju)
  • aM Mining Open Data(ju)
  • Q ְt֨t(|jMͱMDsɧUBFj)
  • ְt֨t(Mju)
  • m ְt֨t(oo)
  • ض Ag@qGHƱɬ¦۰ʧ@t(޳jMͱMDsɧUBtMDworkshopĤ@W, SASߡBju, su)
  • s iH];GѷsDͬGƦa(޳jMͱMDsɧUB104HOȦߡBju)
  • Ŧ pи̪ƬǮa(xju, po)
  • ó pи̪ƬǮa(Vpon, CMU)
  • |w ۧUȦ˻P{W
  • |w ]y:pzLƱɧ޳NX̨γӧQ{ (޳jMͱMDsɧU, xju)
  • ]y:pzLƱɧ޳NX̨γӧQ{
  • yAƱ
  • B ֦۰ʲVft(޳jMͱMDsɧUBtMDworkshopĤGWBju)
  • ۻ ֦۰ʲVft(FjBtMDworkshopĤGW)
  • h ѹqvɨ⪺Hߺ(޳jMͱMDsɧUBtMDworkshopĤ@WBFj)
  • N \Uɮn(޳jMͱMDsɧUBMju)
  • O \Uɮn(έpt׸AMؤjǥ洫ǥ, |T)
  • | еı
  • Ķ DOTA2ɹCy(߲ztD׸t, Fj߲z)
  • xt ػy歵ֺqRt
  • بj ϥΪ̦欰`(xju)
  • l ŮPŮ~w(޳jMͱMDsɧU)
  • H`׾Dz߬vt
  • gN H`׾Dz߬vt
  • tX sCWֱPӱɨt (޳jMͱMDsɧU)
  • Ia PPڤߡGѪsC鱴ɤHS (޳jMͱMDsɧU)

Lg

  • Editorial Committee, Bulletin of Library and Information Science
  • Program Committee, The Second European Network Intelligence Conference ENIC 2015.
  • Program Committee, Fifth ASE International Conference on Big Data BigData 2015.
  • Program Committee, Fourth ASE International Conference on Social Informatics SocialInformatics 2015.
  • Program Committee, Workshop on Social Network Analysis in Applications SNAA 2015.
  • Program Committee, 3rd workshop on Emotions and Personality in Recommender Systems EMPIRE, in conjunction with ACM Recommender Systems 2015.
  • Program Committee, 28th IEEE International Conference on Advanced Information Networking and Applications.
  • Program Committee, 5th Workshop on Multimedia for Cooking and Eating Activities in conjunction with ACM Multimedia,2013.
  • Program Committee, 4th IEEE International Conference on Social Computing, 2013.
  • Program Committee, 3rd Workshop on Applications of Social Network Analysis,in conjunction with IEEE/ACM ASONAM, 2013.
  • Program Committee, International Workshop on Behavior and Social Informatics in conjuction with PAKDD, 2013.
  • Program Committee, 21st Conference on User Modeling, Adaptation and Personalization workshop on "Emotions and Personality in Recommender Systems EMPIRE, 2013.
  • Program Committee, ASE/IEEE International Conference on Social Informatics 2012.
  • Program Committee, IEEE Symposium on Industrial Electronics and Applications 2012.
  • Program Committee, IEEE International Conference on Granular Computing 2012.
  • Program Committee, International Workshop on Social Computing, Network, and Services SocialComNet-2012.
  • Program Committee, 3rd IEEE International Conference on Soical Computing SocialCom 2012.
  • Program Committee, 2nd International Workshop on Applications of Social Network Analysis 2012.
  • Program Vise-Chair, International Conference on Social Computing and its Applications SCA 2011.
  • Program Committee, IEEE International Conference on Granular Computing 2011.
  • Program Committee, International Symposium on Wireless Sensor Network Technologies and Applications for Smart Space WTA 2011.
  • Program Committee, PAKDD Doctoral Symposium on Data Mining DSDM 2011.
  • Program Committee, International Workshop on Mobile Social Networks MSN 2011.
  • Program Committee, International Conference on Social Informatics SocInfo 2011.
  • Program Committee, 5th International Conference on Complex, Intelligent, and Software Intensive Systems CISIS-2011.
  • Program Committee, 1st International Conference on Social Eco-Informatics SOTICS 2011.
  • Program Committee, International Workshop on Social Computing, Network, and Services SocialComNet-2011.
  • Program Committee, IEEE International Conference on Social Computing SocialCom2010.
  • Programm Committee, 23th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems Special Session on Applied Intelligent Systems for Future Classroom
  • Program Committee, 5th International Conference on Grid and Pervasive Computing
  • Program Committee, 2009 International Workshop on Computer Music and Audio Technology
  • Program Committee, 2009 National Computer Symposium Workshop on Software Engineering, Data Mining, and Databases
  • Program Committee, 2009 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference Technical
  • Program Committee, 2006 International Workshop on Computer Music and Audio Technology
  • Program Committee, Symposium on Applications of Information, Management and Communication Technology 2005
  • Organizing Committee, 2nd International Conference on Digital Archive Technologies
  • Publication Chair, 9th Conference on Artificial Intelligence and Applications
  • Local Arrangement Co-chair, 9th Conference on Artificial Intelligence and Applications
  • Ҹհ|ҿﳡҩRDe
  • F|@u{e|Ǫ̱Mae
  • gٳu~Mpefe
  • Ш|갪͸T{vɩRD[fe
  • ʬTqhC޳NU
  • ۤqT޲zU
  • Fvj]NɦѮv

Lg(ǥͮɥN)


t

  • vdjǸTШ|t: Content-based Visual Retrieval
  • [njǸT޲zt: Multimedia Information Systems
  • vdjǸTШ|t: Web Mining
  • RyjǷ|pt: Data Mining and Finance
  • ¶ޤjǸT޲zt: Web Usage Mining and E-Commerce
  • qjǸTǨt: News Boy: A Personalized E-News System
  • FؤjǸTu{t: News Boy: A Personalized E-News System
  • FvjǸT޲zt: Data Mining and Personalization
  • zuǰ|Tu{t: Data Mining + Multimedia = Multimedia Data Mining
  • jǸTu{t: Music Style Mining, Retrieval and Recommendation
  • qjǸTu{t: Music Style Mining, Retrieval and Recommendation
  • Ӭޤjǹqlu{t: Data Mining and Network Intrusion Detection
  • vdjǸTu{t: Music Style Mining, Retrieval and Recommendation
  • {ҤjǸTu{t: If I were a Freshman in Computer Science
  • FvjǸT޲zt: Biological Sequence Mining
  • vdjǹϮѸTǬs: Music Style Mining, Retrieval and Recommendation
  • jǸTu{t: Emotion-based Impressionism Slideshow
  • jǸTu{t: Evolutionary Repeating Pattern Mining
  • FؤjǸTu{t: Social Network Mining from Historical Documents
  • qjǸTu{t: Repeating Pattern Mining in Bioinformatics & Music
  • رjǸT޲zt: Social Networks and Multimedia
  • vdjǸTu{t: Automatic System for the Arrangement of Piano Reductions
  • xWjǸT޲zt: Social Network Mining
  • pXjǸT޲zt: Social Networks and Multimedia
  • s||: Social Network Mining from Historical Documents
  • xWjǹqu{t: Context-based People Search in Attributed Social Networks
  • ʬTq: MPEG-4 tCt

  • ۧUȦ
  • ؿvBj
  • vСBǡB߲zǡBv
  • вyBƲyBaBM}񨮡BB
  • wժ]Gj|ժ]
  • weaGPaul Cezanne
  • w߲zǮaGWilliam James, Carl Rogers, Viktor Frankl, Erich Fromm,
  • w޲zǮaGPeter F. Drucker
  • wgپǮaGAmartya Sen
  • wǮaGMichael Faraday
  • wǮaGImmanuel Kant, Martin Buber
  • ̷qRHGˡB
  • qvGbkvBɦw
  • wGʳBxB趮ϡBԮ
  • hΡGj
  • hǥͥͲPGùD
  • hKGưK
  • wӻx:
    Two things fill the mind with ever new and increasing admiration and awe,
    the more often and steadily we reflect upon them:
    The starry heavens above me and the moral law within me. (Immanuel Kant)