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Tzung-Pei Hong: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Tzung-Pei Hong, Chai-Ying Lee
    Learning Fuzzy Knowledge from Training Examples. [Citation Graph (0, 0)][DBLP]
    CIKM, 1998, pp:161-166 [Conf]
  2. Shyue-Liang Wang, Wei-Shuo Lo, Tzung-Pei Hong
    Discovery of Fuzzy Multiple-Level Web Browsing Patterns. [Citation Graph (0, 0)][DBLP]
    FSKD, 2002, pp:636-640 [Conf]
  3. Tzung-Pei Hong, Chan-Sheng Kuo, Shyue-Liang Wang
    A Fuzzy AprioriTid Algorithm With Reduced Computational Time. [Citation Graph (0, 0)][DBLP]
    FUZZ-IEEE, 2001, pp:360-363 [Conf]
  4. Tzung-Pei Hong, Tzu-Ting Wang, Been-Chian Chien
    Learning Approximate Fuzzy Rules From Training Examples. [Citation Graph (0, 0)][DBLP]
    FUZZ-IEEE, 2001, pp:256-259 [Conf]
  5. Chien-Lung Wang, Gwoboa Horng, Yu-Sheng Chen, Tzung-Pei Hong
    An Efficient Key-Update Scheme for Wireless Sensor Networks. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (1), 2006, pp:1026-1029 [Conf]
  6. Tzung-Pei Hong, Shian-Shyong Tseng
    Comparison of ID3 and Its Generalized Version. [Citation Graph (0, 0)][DBLP]
    ICCI, 1992, pp:241-244 [Conf]
  7. Tzung-Pei Hong, Yeong-Chyi Lee
    Mining Coverage-Based Fuzzy Rules by Evolutional Computation. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:218-224 [Conf]
  8. Ching-Yao Wang, Tzung-Pei Hong, Shian-Shyong Tseng
    Maintenance of Sequential Patterns for Record Deletion. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:536-541 [Conf]
  9. Ching-Yao Wang, Tzung-Pei Hong, Shian-Shyong Tseng
    Maintenance of Sequential Patterns for Record Modification Using Pre-large Sequences. [Citation Graph (0, 0)][DBLP]
    ICDM, 2002, pp:693-696 [Conf]
  10. Vincent S. Tseng, Chun-Hao Chen, Chien-Hsiang Chen, Tzung-Pei Hong
    Segmentation of Time Series by the Clustering and Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    ICDM Workshops, 2006, pp:443-447 [Conf]
  11. Ching-Yao Wang, Shian-Shyong Tseng, Tzung-Pei Hong, Yianshu Chu
    A Three-phased Online Association Rule Mining Approach for Diverse Mining Requests. [Citation Graph (0, 0)][DBLP]
    ICEB, 2004, pp:1085-1090 [Conf]
  12. Tzung-Pei Hong, Jyh-Jong Lee
    Parallel Neural Learning by Iteratively Adjusting Error Thresholds. [Citation Graph (0, 0)][DBLP]
    ICPADS, 1998, pp:107-0 [Conf]
  13. Tzung-Pei Hong, Shian-Shyong Tseng
    A Parallel Perceptron Learning Algorithm. [Citation Graph (0, 0)][DBLP]
    ICPP (3), 1991, pp:288-289 [Conf]
  14. Tzung-Pei Hong, Tzu-Ting Wang
    A New Fuzzy Flexible Flow-Shop Algorithm for Continous Fuzzy Domain. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 1999, pp:74-79 [Conf]
  15. Yeong-Chyi Lee, Tzung-Pei Hong, Tien-Chin Wang
    Mining Multiple-Level Association Rules Under the Maximum Constraint of Multiple Minimum Supports. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2006, pp:1329-1338 [Conf]
  16. Tzung-Pei Hong, Chun-Hao Chen, Yu-Lung Wu, Yeong-Chyi Lee
    Using divide-and-conquer GA strategy in fuzzy data mining. [Citation Graph (0, 0)][DBLP]
    ISCC, 2004, pp:116-121 [Conf]
  17. Tzung-Pei Hong, Ming-Wen Tsai, Tung-Kuan Liu
    Two-dimentional Encoding Schema and Genetic Operators. [Citation Graph (0, 0)][DBLP]
    JCIS, 2006, pp:- [Conf]
  18. Chien-Lung Wang, Tzung-Pei Hong, Gwoboa Horng, Wen-Hung Wang
    A Key Renewal Scheme under the Power Consumption for Wireless Sensor Networks. [Citation Graph (0, 0)][DBLP]
    JCIS, 2006, pp:- [Conf]
  19. Tzung-Pei Hong, Yan-Liang Liou, Shyue-Liang Wang
    Learning with Hierarchical Quantitative Attributes by Fuzzy Rough Sets. [Citation Graph (0, 0)][DBLP]
    JCIS, 2006, pp:- [Conf]
  20. Tzung-Pei Hong, Wen-Chang Chang, Jiann-Horng Lin
    A Two-Phased Ontology Selection Approach for Semantic Web. [Citation Graph (0, 0)][DBLP]
    KES (4), 2005, pp:403-409 [Conf]
  21. Tzung-Pei Hong, Cheng-Ming Huang, Shi-Jinn Horng
    Mining Linguistic Mobility Patterns for Wireless Networks. [Citation Graph (0, 0)][DBLP]
    KES (3), 2005, pp:1352-1358 [Conf]
  22. Yeong-Chyi Lee, Tzung-Pei Hong, Wen-Yang Lin
    Mining Fuzzy Association Rules with Multiple Minimum Supports Using Maximum Constraints. [Citation Graph (0, 0)][DBLP]
    KES, 2004, pp:1283-1290 [Conf]
  23. Jung-Yi Lin, Been-Chian Chien, Tzung-Pei Hong
    A Function-Based Classifier Learning Scheme Using Genetic Programming. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2002, pp:92-103 [Conf]
  24. Ching-Yao Wang, Shian-Shyong Tseng, Tzung-Pei Hong
    Improved Negative-Border Online Mining Approaches. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2006, pp:483-492 [Conf]
  25. Tzung-Pei Hong, Chan-Sheng Kuo, Sheng-Chai Chi, Shyue-Liang Wang
    Mining Fuzzy Rules from Quantitative Data Based on the AprioriTid Algorithm. [Citation Graph (0, 0)][DBLP]
    SAC (1), 2000, pp:534-536 [Conf]
  26. Shyue-Liang Wang, Jenn-Shing Tsai, Tzung-Pei Hong
    Mining Functional Dependencies from Fuzzy Relational Databases. [Citation Graph (0, 0)][DBLP]
    SAC (1), 2000, pp:490-493 [Conf]
  27. Tzung-Pei Hong, Tzu-Jung Huang, Chao-Sheng Chang
    Maintenance of multiple-level association rules for record modification. [Citation Graph (0, 0)][DBLP]
    SMC (4), 2004, pp:3140-3145 [Conf]
  28. Tzung-Pei Hong, Li-Huei Tseng, Been-Chian Chien
    Learning coverage rules from incomplete data based on rough sets. [Citation Graph (0, 0)][DBLP]
    SMC (4), 2004, pp:3226-3231 [Conf]
  29. Wen-Yang Lin, Tzung-Pei Hong, Shu-Min Liu
    On adapting migration parameters for multi-population genetic algorithms. [Citation Graph (0, 0)][DBLP]
    SMC (6), 2004, pp:5731-5735 [Conf]
  30. Shyue-Liang Wang, Mei-Hwa Wang, Wen-Yang Lin, Tzung-Pei Hong
    Adjustable discovery of adaptive-support association rules for collaborative recommendation systems. [Citation Graph (0, 0)][DBLP]
    SMC (4), 2004, pp:3250-3254 [Conf]
  31. Tzung-Pei Hong, Jun-Wei Lin, Yu-Lung Wu
    Maintenance of Fast Updated Frequent Pattern Trees for Record Modification. [Citation Graph (0, 0)][DBLP]
    ICICIC (1), 2006, pp:570-573 [Conf]
  32. Wei-Chou Chen, Tzung-Pei Hong, Wen-Yang Lin
    A Composite Data Model in Object-Oriented Data Warehousing. [Citation Graph (0, 0)][DBLP]
    TOOLS (31), 1999, pp:400-405 [Conf]
  33. Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng
    Analyzing time-series data by fuzzy data-mining technique. [Citation Graph (0, 0)][DBLP]
    GrC, 2005, pp:112-117 [Conf]
  34. Tzung-Pei Hong, Kuei-Ying Lin, Been-Chian Chien
    Mining Fuzzy Multiple-Level Association Rules from Quantitative Data. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 2003, v:18, n:1, pp:79-90 [Journal]
  35. Tzung-Pei Hong, Hong-Shung Wang, Wen-Yang Lin, Wen-Yuan Lee
    Evolution of Appropriate Crossover and Mutation Operators in a Genetic Process. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 2002, v:16, n:1, pp:7-17 [Journal]
  36. Ching-Hung Wang, Chang-Jiun Tsai, Tzung-Pei Hong, Shian-Shyong Tseng
    Fuzzy Inductive Learning Strategies. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 2003, v:18, n:2, pp:179-193 [Journal]
  37. Tzung-Pei Hong, Chan-Sheng Kuo, Shyue-Liang Wang
    A fuzzy AprioriTid mining algorithm with reduced computational time. [Citation Graph (0, 0)][DBLP]
    Appl. Soft Comput., 2004, v:5, n:1, pp:1-10 [Journal]
  38. Tzung-Pei Hong, Ke-Yuan Huang, Wen-Yang Lin
    Adversarial Search by Evolutionary Computation. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2001, v:9, n:3, pp:371-385 [Journal]
  39. Wei-Chou Chen, Shian-Shyong Tseng, Lu-Ping Chang, Tzung-Pei Hong, Mon-Fong Jiang
    A parallelized indexing method for large-scale case-based reasoning. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2002, v:23, n:2, pp:95-102 [Journal]
  40. Been-Chian Chien, Jung-Yi Lin, Tzung-Pei Hong
    Learning discriminant functions with fuzzy attributes for classification using genetic programming. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2002, v:23, n:1, pp:31-37 [Journal]
  41. Tzung-Pei Hong, Li-Huei Tseng, Shyue-Liang Wang
    Learning rules from incomplete training examples by rough sets. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2002, v:22, n:4, pp:285-293 [Journal]
  42. Tzung-Pei Hong, Tzu-Ting Wang, Shyue-Liang Wang
    Mining fuzzy beta. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2007, v:32, n:1, pp:223-232 [Journal]
  43. Cheng-Ming Huang, Tzung-Pei Hong, Shi-Jinn Horng
    Mining knowledge from object-oriented instances. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2007, v:33, n:2, pp:441-450 [Journal]
  44. Tzung-Pei Hong, Kuei-Ying Lin, Shyue-Liang Wang
    Fuzzy data mining for interesting generalized association rules. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2003, v:138, n:2, pp:255-269 [Journal]
  45. Tzung-Pei Hong, Hong-Shung Wang, Wei-Chou Chen
    Simultaneously Applying Multiple Mutation Operators in Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    J. Heuristics, 2000, v:6, n:4, pp:439-455 [Journal]
  46. Tzung-Pei Hong, Chan-Sheng Kuo, Sheng-Chai Chi
    Mining association rules from quantitative data. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 1999, v:3, n:5, pp:363-376 [Journal]
  47. Tzung-Pei Hong, Chai-Ying Lee
    Effect of merging order on performance of fuzzy induction. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 1999, v:3, n:2, pp:139-151 [Journal]
  48. Tzung-Pei Hong, Shyue-Liang Wang
    Determining appropriate membership functions to simplify fuzzy induction. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2000, v:4, n:1, pp:51-66 [Journal]
  49. Tzung-Pei Hong, Ching-Yao Wang, Yu-Hui Tao
    A new incremental data mining algorithm using pre-large itemsets. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2001, v:5, n:2, pp:111-129 [Journal]
  50. Tzung-Pei Hong, Tzu-Ting Wang, Shyue-Liang Wang
    Knowledge acquisition from quantitative data using the rough-set theory. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2000, v:4, n:3-4, pp:289-304 [Journal]
  51. Ching-Yao Wang, Tzung-Pei Hong, Shian-Shyong Tseng
    Maintenance of discovered sequential patterns for record deletion. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2002, v:6, n:5, pp:399-410 [Journal]
  52. Shyue-Liang Wang, Jenn-Shing Tsai, Tzung-Pei Hong
    Discovering functional dependencies from similarity-based fuzzy relational databases. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2001, v:5, n:2, pp:131-149 [Journal]
  53. Shyue-Liang Wang, Tzung-Pei Hong
    Incomplete Input Inference on Fuzzy Production Systems Supported by Petri Nets. [Citation Graph (0, 0)][DBLP]
    International Journal on Artificial Intelligence Tools, 2000, v:9, n:4, pp:537-549 [Journal]
  54. Yeong-Chyi Lee, Tzung-Pei Hong, Wen-Yang Lin
    Mining association rules with multiple minimum supports using maximum constraints. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2005, v:40, n:1-2, pp:44-54 [Journal]
  55. Tzung-Pei Hong, Chan-Sheng Kuo, Sheng-Chai Chi
    Trade-off Between Computation Time and Number of Rules for Fuzzy Mining from Quantitative Data. [Citation Graph (0, 0)][DBLP]
    International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2001, v:9, n:5, pp:587-604 [Journal]
  56. Tzung-Pei Hong, Tzu-Ting Wang
    Fuzzy flexible flow shops at two machine centers for continuous fuzzy domains. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2000, v:129, n:1-4, pp:227-237 [Journal]
  57. Ching-Yao Wang, Shian-Shyong Tseng, Tzung-Pei Hong
    Flexible online association rule mining based on multidimensional pattern relations. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2006, v:176, n:12, pp:1752-1780 [Journal]
  58. Tzung-Pei Hong, Wei-Chou Chen
    Fuzzy Flexible-Flow Shops at Two Machine Centers. [Citation Graph (0, 0)][DBLP]
    JACIII, 1998, v:2, n:4, pp:142-149 [Journal]
  59. Tzung-Pei Hong, Tzu-Ting Wang, Shyue-Liang Wang
    A Fuzzy CDS-based Scheduling Algorithm for More Than Two Machine Centers. [Citation Graph (0, 0)][DBLP]
    JACIII, 2001, v:5, n:4, pp:239-245 [Journal]
  60. Shyue-Liang Wang, Tzung-Pei Hong, Wen-Yang Lin
    Answering Null Queries by Analogical Reasoning on Similarity-based Fuzzy Relational Databases. [Citation Graph (0, 0)][DBLP]
    JACIII, 2001, v:5, n:3, pp:163-171 [Journal]
  61. Rong-Huei Hou, Tzung-Pei Hong, Shian-Shyong Tseng, Sy-Yen Kuo
    A New Probabilistic Induction Method. [Citation Graph (0, 0)][DBLP]
    J. Autom. Reasoning, 1997, v:18, n:1, pp:5-24 [Journal]
  62. Tzung-Pei Hong, Shian-Shyong Tseng
    A probabilistic perceptron learning algorithm. [Citation Graph (0, 0)][DBLP]
    J. Exp. Theor. Artif. Intell., 1992, v:4, n:4, pp:265-279 [Journal]
  63. Tzung-Pei Hong, Tzung-Nan Chuang
    Fuzzy scheduling on two-machine flow shop. [Citation Graph (0, 0)][DBLP]
    Journal of Intelligent and Fuzzy Systems, 1998, v:6, n:4, pp:471-481 [Journal]
  64. Tzung-Pei Hong, Tzung-Nan Chuang
    Fuzzy CDS scheduling for flow shops with more than two machines. [Citation Graph (0, 0)][DBLP]
    Journal of Intelligent and Fuzzy Systems, 1998, v:6, n:4, pp:483-494 [Journal]
  65. Tzung-Pei Hong, Tzung-Nan Chuang
    Fuzzy palmer Scheduling for Flow Shops with More than Two Machines. [Citation Graph (0, 0)][DBLP]
    J. Inf. Sci. Eng., 1999, v:15, n:3, pp:397-406 [Journal]
  66. Tzung-Pei Hong, Shian-Shyong Tseng
    Primal-Dual Version Spaces for Acquisition of Disjunctive Concepts. [Citation Graph (0, 0)][DBLP]
    J. Inf. Sci. Eng., 1998, v:14, n:2, pp:327-345 [Journal]
  67. Tzung-Pei Hong, Hong-Shung Wang
    Automatically Adjusting Crossover Ratios of Multiple Crossover Operators. [Citation Graph (0, 0)][DBLP]
    J. Inf. Sci. Eng., 1998, v:14, n:2, pp:369-390 [Journal]
  68. Wen-Yang Lin, Wen-Yung Lee, Tzung-Pei Hong
    Adapting Crossover and Mutation Rates in Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    J. Inf. Sci. Eng., 2003, v:19, n:5, pp:889-903 [Journal]
  69. Ching-Hung Wang, Tzung-Pei Hong, Shian-Shyong Tseng
    A Genetics-Based Approach to Knowledge Integration and Refinement. [Citation Graph (0, 0)][DBLP]
    J. Inf. Sci. Eng., 2001, v:17, n:1, pp:85-94 [Journal]
  70. Ching-Hung Wang, Tzung-Pei Hong, Shian-Shyong Tseng
    A New Hybrid Learning Algorithm for Non-Linear Boundaries. [Citation Graph (0, 0)][DBLP]
    J. Inf. Sci. Eng., 1998, v:14, n:2, pp:305-325 [Journal]
  71. Ching-Hung Wang, Shian-Shyong Tseng, Tzung-Pei Hong
    Design of a Self-Adaptive Brain Tumor Diagnostic System. [Citation Graph (0, 0)][DBLP]
    J. Inf. Sci. Eng., 1995, v:11, n:2, pp:275-294 [Journal]
  72. Tzung-Pei Hong, Shian-Shyong Tseng
    Parallel perceptron learning on a single-channel broadcast communication model. [Citation Graph (0, 0)][DBLP]
    Parallel Computing, 1992, v:18, n:2, pp:133-148 [Journal]
  73. Tzung-Pei Hong, Shian-Shyong Tseng
    An Optimal Parallel Perceptron Learning Algorithm for a LargeTraining Set. [Citation Graph (0, 0)][DBLP]
    Parallel Computing, 1994, v:20, n:3, pp:347-352 [Journal]
  74. Tzung-Pei Hong, Jyh-Jong Lee
    A Nearly Optimal Back-Propagation Learning Algorithm on a Bus-Based Architecture. [Citation Graph (0, 0)][DBLP]
    Parallel Processing Letters, 1998, v:8, n:3, pp:297-306 [Journal]
  75. Tzung-Pei Hong, Ke-Yuan Huang, Wen-Yang Lin
    Applying genetic algorithms to game search trees. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2002, v:6, n:3-4, pp:277-283 [Journal]
  76. Tzung-Pei Hong, Kuei-Ying Lin, Shyue-Liang Wang
    Mining linguistic browsing patterns in the world wide web. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2002, v:6, n:5, pp:329-336 [Journal]
  77. Tzung-Pei Hong, Tzu-Ting Wang, Shyue-Liang Wang
    A palmer-based continuous fuzzy flexible flow-shop scheduling algorithm. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2001, v:5, n:6, pp:426-433 [Journal]
  78. Tzung-Pei Hong, Chun-Hao Chen, Yu-Lung Wu, Yeong-Chyi Lee
    A GA-based Fuzzy Mining Approach to Achieve a Trade-off Between Number of Rules and Suitability of Membership Functions. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2006, v:10, n:11, pp:1091-1101 [Journal]
  79. Tzung-Pei Hong, Kuei-Ying Lin, Shyue-Liang Wang
    Mining fuzzy sequential patterns from quantitative transactions. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2006, v:10, n:10, pp:925-932 [Journal]
  80. Ching-Hung Wang, Tzung-Pei Hong, Shian-Shyong Tseng
    Integrating fuzzy knowledge by genetic algorithms. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 1998, v:2, n:4, pp:138-149 [Journal]
  81. Tzung-Pei Hong, Shian-Shyong Tseng
    Learning Concepts in Parallel Based upon the Strategy of Version Space. [Citation Graph (0, 6)][DBLP]
    IEEE Trans. Knowl. Data Eng., 1994, v:6, n:6, pp:857-867 [Journal]
  82. Tzung-Pei Hong, Shian-Shyong Tseng
    A Generalized Version Space Learning Algorithm for Noisy and Uncertain Data. [Citation Graph (0, 11)][DBLP]
    IEEE Trans. Knowl. Data Eng., 1997, v:9, n:2, pp:336-340 [Journal]
  83. Tzung-Pei Hong, Shian-Shyong Tseng
    Splitting and Merging Version Spaces to Learn Disjunctive Concepts. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 1999, v:11, n:5, pp:813-815 [Journal]
  84. Chun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu, Chih-Hung Wu
    Maintenance of Fast Updated Frequent Trees for Record Deletion Based on Prelarge Concepts. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2007, pp:675-684 [Conf]
  85. Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng
    A Comparison of Different Fitness Functions for Extracting Membership Functions Used in Fuzzy Data Mining. [Citation Graph (0, 0)][DBLP]
    FOCI, 2007, pp:550-555 [Conf]
  86. Chun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu
    Using the Pre-FUFP Algorithm for Handling New Transactions in Incremental Mining. [Citation Graph (0, 0)][DBLP]
    CIDM, 2007, pp:598-603 [Conf]
  87. Shyue-Liang Wang, Dipen Patel, Ayat Jafari, Tzung-Pei Hong
    Hiding collaborative recommendation association rules. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 2007, v:27, n:1, pp:67-77 [Journal]
  88. Shyue-Liang Wang, Kuan-Wei Huang, Tien-Chin Wang, Tzung-Pei Hong
    Maintenance of informative ruler sets for predictions. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2007, v:11, n:3, pp:279-292 [Journal]
  89. Ching-Yao Wang, Shian-Shyong Tseng, Tzung-Pei Hong, Yianshu Chu
    Online Generation of Association Rules under Multi-dimensional Consideration Based on Negative-Border. [Citation Graph (0, 0)][DBLP]
    J. Inf. Sci. Eng., 2007, v:23, n:1, pp:233-242 [Journal]

  90. Case-Based Reasoning with feature clustering. [Citation Graph (, )][DBLP]


  91. Mining Generalized Association Rules from a Different Perspective. [Citation Graph (, )][DBLP]


  92. A Genetic-Fuzzy Mining Approach for Items with Multiple Minimum Supports. [Citation Graph (, )][DBLP]


  93. Models of parallel learning systems. [Citation Graph (, )][DBLP]


  94. An FUSP-Tree Maintenance Algorithm for Record Modification. [Citation Graph (, )][DBLP]


  95. Efficient Hiding of Collaborative Recommendation Association Rules with Updates. [Citation Graph (, )][DBLP]


  96. Incremental Mining with Prelarge Trees. [Citation Graph (, )][DBLP]


  97. Hiding Predictive Association Rules on Horizontally Distributed Data. [Citation Graph (, )][DBLP]


  98. Fuzzy Johnson's Algorithm for Two-machine Flow Shop. [Citation Graph (, )][DBLP]


  99. A maximum channel reuse scheme with Hopfield Neural Network based static cellular radio channel allocation systems. [Citation Graph (, )][DBLP]


  100. An Incremental FUSP-Tree Maintenance Algorithm. [Citation Graph (, )][DBLP]


  101. An Incremental Mining Algorithm for High Average-Utility Itemsets. [Citation Graph (, )][DBLP]


  102. A fuzzy data mining algorithm for quantitative values. [Citation Graph (, )][DBLP]


  103. Incremental data mining based on two support thresholds. [Citation Graph (, )][DBLP]


  104. A Cluster-Based Genetic-Fuzzy Mining Approach for Items with Multiple Minimum Supports. [Citation Graph (, )][DBLP]


  105. Using escape operations in gene-set genetic algorithms. [Citation Graph (, )][DBLP]


  106. Mining High Average-Utility Itemsets. [Citation Graph (, )][DBLP]


  107. On Genetic-Fuzzy Data Mining Techniques. [Citation Graph (, )][DBLP]


  108. Automatic attribute clustering based on genetic algorithms. [Citation Graph (, )][DBLP]


  109. Mining Up-to-date Knowledge from Log Data. [Citation Graph (, )][DBLP]


  110. Some Techniques and Applications in Data Mining. [Citation Graph (, )][DBLP]


  111. A Multi-objective Genetic-fuzzy Mining Algorithm. [Citation Graph (, )][DBLP]


  112. A Summary of Genetic-Fuzzy Data Mining Techniques. [Citation Graph (, )][DBLP]


  113. Hiding Sensitive Association Rules on Stars. [Citation Graph (, )][DBLP]


  114. Genetic-Fuzzy Data Mining Techniques. [Citation Graph (, )][DBLP]


  115. Incrementally Mining High Utility Itemsets in Dynamic Databases. [Citation Graph (, )][DBLP]


  116. Experimental analysis of dynamic migration intervals on 0/1 knapsack problems. [Citation Graph (, )][DBLP]


  117. A modified approach to speed up genetic-fuzzy data mining with divide-and-conquer strategy. [Citation Graph (, )][DBLP]


  118. A cluster-based genetic approach for segmentation of time series and pattern discovery. [Citation Graph (, )][DBLP]


  119. Learning Membership Functions in Takagi-Sugeno Fuzzy Systems by Genetic Algorithms. [Citation Graph (, )][DBLP]


  120. Efficiently Mining High Average Utility Itemsets with a Tree Structure. [Citation Graph (, )][DBLP]


  121. A Three-Scan Algorithm to Mine High On-Shelf Utility Itemsets. [Citation Graph (, )][DBLP]


  122. Discovering fuzzy personal moving profiles in wireless networks. [Citation Graph (, )][DBLP]


  123. An Improved Knowledge-Acquisition Strategy Based on Genetic Programming. [Citation Graph (, )][DBLP]


  124. An Effective Attribute Clustering Approach for Feature Selection and Replacement. [Citation Graph (, )][DBLP]


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