| Tài liệu tham khảo |
Loại |
Chi tiết |
| [1] Olatz Arbelaitz , Ibai Gurrutxaga, Aizea Lojo, Javier Muguerza, Jesús Maria Pộrez, Iủigo Perona, (2013) . “Web usage and content mining to extract knowledge for modelling the users of the Bidasoa Turismo Web site and to adapt it”, Expert Systems with Applications, 40(18), 7478–7491 |
Sách, tạp chí |
| Tiêu đề: |
Web usage and content mining to extract knowledge for modelling the users of the Bidasoa Turismo Web site and to adapt it |
|
| [4] Elena Baralis, Silvia Chiusano, Riccardo Dutto, (2008) . “Applying Sequential Rules to Protein Localization Prediction”, Computer and Mathematics with Applications, 55(5), 867–878 |
Sách, tạp chí |
| Tiêu đề: |
Applying Sequential Rules to Protein Localization Prediction |
|
| [5] David Lo, Siau-Cheng Khoo, Limsoon Wong, (2009). “Non-Redundant Sequential Rules-Theory and Algorithm, Information Systems”, Information Systems, 34(4-5), 438-453 |
Sách, tạp chí |
| Tiêu đề: |
Non-Redundant Sequential Rules-Theory and Algorithm, Information Systems |
| Tác giả: |
David Lo, Siau-Cheng Khoo, Limsoon Wong |
| Năm: |
2009 |
|
| [6] Myra Spiliopoulou, (1999) . “Managing Interesting Rules in Sequence Mining”, Proceedings of European Conference on Principles of Data Mining and Knowledge Discovery, 554–560 |
Sách, tạp chí |
| Tiêu đề: |
Managing Interesting Rules in Sequence Mining |
|
| [7] Heikki Mannila, Hannu Toivonen, A. Inkeri Verkamo , (1997) . “Discovery of frequent episodes in event sequences”, Data Mining and Knowledge Discovery, 1 (3), 259–289 |
Sách, tạp chí |
| Tiêu đề: |
Discovery of frequent episodes in event sequences |
|
| [8] Sergey Brin , Rajeev Motwani , Jeffrey D. Ullman , Shalom Tsur, (1997) . “Dynamic Itemset Counting and Implication Rules for Market Basket Data”, Newsletter ACM SIGMOD Record , 26(2), 255-264 |
Sách, tạp chí |
| Tiêu đề: |
Dynamic Itemset Counting and Implication Rules for Market Basket Data |
|
| [9] Rakesh Agrawal , Ramakrishnan Srikant, (1995 ) . “Mining sequential patterns”, Proceedings of IEEE International Conference on Data Engineering, 3–14 |
Sách, tạp chí |
| Tiêu đề: |
Mining sequential patterns |
|
| [10] Claudio Lucchese, Salvatore Orlando, Raffaele Perego , (2003) . “CLOSET+: Searching for the Best Strategies for Mining Frequent Closed Itemsets” , Proceeding KDD '03 Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining, 236-245 |
Sách, tạp chí |
| Tiêu đề: |
CLOSET+: Searching for the Best Strategies for Mining Frequent Closed Itemsets |
|
| [11] Ramakrishnan Srikant, Rakesh Agrawal, (1996) . “Mining sequential patterns: Generalizations and performance improvements” , Proceeding EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology, 3-17 |
Sách, tạp chí |
| Tiêu đề: |
Mining sequential patterns: Generalizations and performance improvements |
|
| [12] Jiawei Han, Jian Pei, Behzad Mortazavi-Asl, Qiming Chen, Umeshwar Dayal, Mei-Chun Hsu, (2000) . “Freespan: Frequent pattern-projected sequential pattern mining”, Proceeding KDD '00 Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 355– 359 |
Sách, tạp chí |
| Tiêu đề: |
Freespan: Frequent pattern-projected sequential pattern mining |
|
| [13] Jian Pei, Jiawei Han, Behzad Mortazavi-Asl, Jianyong Wang, Helen Pinto, Qiming Chen, Umeshwar Dayal, Mei-Chun Hsu, (2004) . “Mining Sequential Patterns by Pattern-Growth: ThePrefixSpan Approach”, Journal IEEE Transactions on Knowledge and Data Engineering, 16( 11) , 1424–1440 |
Sách, tạp chí |
| Tiêu đề: |
Mining Sequential Patterns by Pattern-Growth: ThePrefixSpan Approach |
|
| [16] Zhenglu Yang, University of Tokyo, Kitsuregawa M., (2004) . “LAPIN- SPAM: An Improved Algorithmfor Mining Sequential Pattern, ICDE Workshops”, Data Engineering Workshops, 2005. 21st International Conference on , 1222 |
Sách, tạp chí |
| Tiêu đề: |
LAPIN-SPAM: An Improved Algorithmfor Mining Sequential Pattern, ICDE Workshops |
|
| [17] Mohammed J. Zaki , (2001 ) . “SPADE: An efficient algorithm for mining frequentsequences, Machine Learning”, Journal Machine Learning , 42(1-2), 31–60 |
Sách, tạp chí |
| Tiêu đề: |
SPADE: An efficient algorithm for mining frequentsequences, Machine Learning |
|
| [19] Jianyong Wang, Jiawei Han, (2007) . “BIDE: efficient mining of frequent closed sequences”, Proceeding ICDE '04 Proceedings of the 20th International Conference on Data Engineering, 79–90 |
Sách, tạp chí |
| Tiêu đề: |
BIDE: efficient mining of frequent closed sequences |
|
| [21] Mohammed J.Zaki, Ching-Jui Hsiao, (2002) . “CHARM: An Efficient Algorithm for Closed Itemset Mining”, |
Sách, tạp chí |
| Tiêu đề: |
CHARM: An Efficient Algorithm for Closed Itemset Mining |
|
| [22] Berry, M.J., Linoff, G.S. , (1997) . “Data Mining Techniques for Marketing, Sales and Customer Support”, John Wiley & Sons |
Sách, tạp chí |
| Tiêu đề: |
Data Mining Techniques for Marketing, Sales and Customer Support |
|
| [23] Sergey Brin, Rajeev Motwani, Jeffrey D. Ullman, Shalom Tsur , (1997) . “Dynamic itemset counting and implication rules for market basket data”, Proceeding SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data, 255-264 |
Sách, tạp chí |
| Tiêu đề: |
Dynamic itemset counting and implication rules for market basket data |
|
| [24] Joshila Grace, V. Maheswari, Dhinaharan Nagamalai, (2011) . “Analysis of web logs and web user in web mining”, IJNSA |
Sách, tạp chí |
| Tiêu đề: |
Analysis of web logs and web user in web mining |
|
| [26] Ramakrishnan Srikant, Rakesh Agrawal, (1996) . “Mining sequential patterns: Generalizations and performance improvements” , Proceeding EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology, 3-17 |
Sách, tạp chí |
| Tiêu đề: |
Mining sequential patterns: Generalizations and performance improvements |
|
| [32] MSDN Library. [online] available at https://msdn.microsoft.com/en- us/library/ms525807(v=vs.90).aspx , 2011 |
Link |
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