Z. Zheng, R. Kohavi, and L. Mason. Real world performance of association rule algorithms. In Proc. of the 2001. Home/Search Document Details and Download
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A Theoretical and Practical Comparison - Of Depth First (Correct)
....We examine the theoretical and practical complexity of Depth First (DF , see [5] and FP growth (FP , see [3] implementations of Apriori (see [1] two of the fastest known data mining algorithms to nd frequent itemsets in large databases. There exist many implementations of Apriori (see, e.g. [4, 6]) We would like to focus on algorithms that assume that the whole database ts in main memory, this often being the state of a airs; among these, DF and FP are the fastest. In most papers so far little attention has been given to theoretical complexity. Apriori is an algorithm that nds all ....
Z. Zheng, R. Kohavi, and L. Mason. Real world performance of association rule algorithms. In F. Provost and R. Srikant, editors, Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2001.
CLOSET+: Searching for the Best Strategies for Mining.. - Wang, Han, Pei (2003) (Correct)
....2089 50.5(63) mushroom 8124 120 23(23) gazelle 59601 498 2.5(267) retail chain 106632 22036 2.98(61) big market 838466 38336 3.12(90) T10I4DxP1k 200k 1400k 978 10(31) T10I4D100kPx 100k 4333 29169 10(31) Table 2: Dataset Characteristics. have been used in the previous performance studies [18, 19]. Two other datasets, retail chain and big market are di#erent retail transaction datasets. Synthetic datasets: The synthetic datasets were generated from IBM dataset generator, with an average transaction length 10 and average frequent itemset length 4. To test the scalability against base size, ....
Z. Zheng, R. Kohavi, and L. Mason. Real world performance of association rule algorithms. In SIGKDD'01, Aug. 2001.
Mining Frequent Item Sets by Opportunistic Projection - Liu, Pan, Wang, Han (2002) (3 citations) (Correct)
....hard drive, running on Microsoft Windows 2000 Server. 4.1 Datasets and features We now describe the datasets used in our experiments. The basic features of the datasets are listed in Table 1. BMS POS, BMS WebView 1 and BMS WebView 2 are real world datasets and categorized as sparse datasets [15]. BMS POS dataset contains several years worth of point of sale data from a large electronics retailer. The transaction in this dataset is a customer s purchase transaction consisting of all the product categories purchased at one time. BMS POS has 122,449 frequent patterns at the support ....
Zijian Zheng, Ron Kohavi and Llew Mason. Real World Performance of Association Rule Algorithms. In Proc. 2001.
Maintaining Data Privacy in Association Rule Mining - Rizvi, Haritsa (2002) (25 citations) (Correct)
....database generated from the IBM Al maden generator [3] The synthetic database was created with parameters T10.I4.DiM.NiK (as per the naming convention of [3] resulting in a mil lion customer tuples with each customer purchasing about ten items on average. A real dataset, BMS WebView 1 [20], placed in the public domain by Blue Martini Software. This database contains click stream data from the web site of a (now defunct) legwear and legcare re tailer. There are about 60,000 tuples with close to 500 items in the schema. In order to ensure that our results were applicable to large ....
Z. Zheng, R. Kohavi and L. Mason, "Real World Performance of Association Rule Algorithms", Proc. of 7th ACM $IGKDD Intl. Conference on Knowledge Discovery and Data Mining (KDD), August 2001.
Ten Supplementary Analyses to Improve E-commerce Web Sites - Ron Kohavi Campus Self-citation (Ron) (Correct)
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Zheng Zijian, Kohavi Ron, Mason Llew, Real World Performance of Association Rule Algorithms, Proceedings of the Knowledge Discovery and Data Mining conference (KDD 2001.
Moment: Maintaining Closed Frequent Itemsets over a Stream.. - Yun Chi Haixun (Correct)
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Z. Zheng, R. Kohavi, and L. Mason. Real world performance of association rule algorithms. In Proc. of the 2001.
Catch the Moment: Maintaining Closed Frequent Itemsets - Over Data Stream (Correct)
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Z. Zheng, R. Kohavi, and L. Mason. Real world performance of association rule algorithms. In Proc. of the 2001.
Distribution-Based Synthetic Database Generation.. - Ganesh Ramesh University (Correct)
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Z. Zheng, R. Kohavi, and L. Mason. Real world performance of association rule algorithms. In ACM KDD Conference, 2001.
Cache-conscious Frequent Pattern Mining on a Modern - Processor Amol Ghoting (2005) (Correct)
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Z. Zheng, R. Kohavi, and L. Mason. Real world performance of association rule algorithms. In Proceedings of the International Conference on Knowledge Discovery and Data Mining, 2001. 588
Privacy-Aware Market Basket Data Set Generation: A Feasible.. - Wu, Wu, Wang, Li (Correct)
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Z. Zheng, R. Kohavi, and L. Mason. Real world performance of association rule algorithms. In Proceedings of the 7th ACM-SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 401--406. San Francisco, CA, August 2001.
Version Spaces in Constraint-Based Data Mining - Fischer (2003) (Correct)
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Z. Zheng, R. Kohavi, and L. Mason. Real world performance of association rule algorithms. In F. Provost and R. Srikant, editors, Proc. of the 7th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, pages 401 406. ACM Press, 2001.
On the Efficiency of Association-rule Mining Algorithms - Pudi, Haritsa (2002) (Correct)
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Z. Zheng, R. Kohavi, and L. Mason. Real world performance of association rule algorithms. In Intl. Conf. on Knowledge Discovery and Data Mining (SIGKDD), August 2001.
A Scalable Multi-Strategy Algorithm for Counting.. - Orlando, Palmerini.. (2002) (Correct)
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Z. Zheng, R. Kohavi, and L. Mason. Real World Performance of Association Rule Algorithms. In Proc. of KDD-2001.
Moment: Maintaining Closed Frequent Itemsets over a Stream .. - Chi, Wang, Yu, Muntz (Correct)
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Z. Zheng, R. Kohavi, and L. Mason. Real world performance of association rule algorithms. In Proc. of the 2001.
ARMOR: Association Rule Mining based on ORacle - Vikram Pudi Intl (Correct)
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Z. Zheng, R. Kohavi, and L. Mason. Real world performance of association rule algorithms. In Proc. of Intl. Conf. on Knowledge Discovery and Data Mining (KDD), Aug. 2001.
Maintaining Data Privacy in Association Rule Mining - Shariq Rizvi Jayant (2002) (25 citations) (Correct)
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Z. Zheng, R. Kohavi and L. Mason, "Real World Performance of Association Rule Algorithms", Proc. of 7th ACM SIGKDD Intl. Conference on Knowledge Discovery and Data Mining (KDD), August 2001.
Catch the Moment: Maintaining Closed Frequent . . . - Chi, Wang, Yu, Muntz (2004) (Correct)
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Z. Zheng, R. Kohavi, and L. Mason. Real world performance of association rule algorithms. In Proc. of the 2001.
What You Store Is What You Get (Extended Abstract) - Geerts, Goethals, Mielikäinen (Correct)
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Z. Zheng, R. Kohavi, and L. Mason. Real world performance of association rule algorithms. In F. Provost and R. Srikant, editors, Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 401--406. ACM Press, 2001.
Adaptive and Resource-Aware Mining of Frequent Sets - Orlando Palmerini Perego (2002) (7 citations) (Correct)
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Z. Zheng, R. Kohavi, and L. Mason. Real World Performance of Association Rule Algorithms. In Proc. of KDD-2001.
On Addressing Efficiency Concerns in - Privacy-Preserving Mining Shipra (Correct)
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Z. Zheng, R. Kohavi and L. Mason, "Real World Performance of Association Rule Algorithms ", Proc. of 7th ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining, August 2001.
Secure Association Rule Sharing - Stanley Oliveira Osmarr (2004) (2 citations) (Correct)
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Z. Zheng, R. Kohavi, and L. Mason. Real World Performance of Association Rules Algorithms. In Proc. of the 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA, August 2001.
Survey on Frequent Pattern Mining - Goethals (2003) (4 citations) (Correct)
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Z. Zheng, R. Kohavi, and L. Mason. Real world performance of association rule algorithms. In F. Provost and R. Srikant, editors, Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 401--406. ACM Press, 2001. 43
Dataset Filtering Techniques in Constraint-Based.. - Wojciechowski.. (Correct)
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Zheng Z., Kohavi R., Mason L.: Real World Performance of Association Rule Algorithms. Proc. of the 7th KDD Conference (2001)
Advances in Frequent Itemset Mining Implementations: Report.. - Goethals, Zaki (2003) (1 citation) (Correct)
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Z. Zheng, R. Kohavi, and L. Mason. Real world performance of association rule algorithms. In Proceedings of the 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 401--406. ACM Press, 2001.
APRIORI, A Depth First Implementation - Kosters, Pijls (Correct)
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Z. Zheng, R. Kohavi, and L. Mason. Real world performance of association rule algorithms. In F. Provost and R. Srikant, editors, Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2001.
An Algorithm for In-Core Frequent Itemset Mining on Streaming.. - Jin, Agrawal (2003) (Correct)
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Z. Zheng, R. Kohavi, and L. Mason. Real World Performance of Association Rule Algorithms. In Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pages 401--406. ACM Press, August 2001. 12
Efficient Frequent Pattern Mining - Goethals (2002) (Correct)
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Z. Zheng, R. Kohavi, and L. Mason. Real world performance of association rule algorithms. In F. Provost and R. Srikant, editors, Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 401--406. ACM Press, 2001.
What You Store Is What You Get (Extended Abstract) - Geerts, Goethals, Mielikäinen (Correct)
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Z. Zheng, R. Kohavi, and L. Mason. Real world performance of association rule algorithms. In F. Provost and R. Srikant, editors, Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 401--406. ACM Press, 2001.
Memory Issues in Frequent Itemset Mining - Goethals (2004) (1 citation) (Correct)
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Z. Zheng, R. Kohavi, and L. Mason. Real world performance of association rule algorithms. In Proceedings of the 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 401--406. ACM Press, 2001.
Statistically Sound Exploratory Rule Discovery - Webb (Correct)
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ExAMiner: Optimized Level-wise Frequent Pattern Mining with.. - Bonchi, Giannotti (Correct)
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Z. Zheng, R. Kohavi, and L. Mason. Real world performance of association rule algorithms. In Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2001.
Secure Association Rule Sharing - Oliveira, Zaïane, Saygin (2004) (2 citations) (Correct)
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Z. Zheng, R. Kohavi, and L. Mason. Real World Performance of Association Rules Algorithms. In Proc. of the 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA, August 2001.
Preliminary Investigations into Statistically Valid Exploratory.. - Webb (Correct)
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Zheng, Z., Kohavi, R., and Mason, L. Real world performance of association rule algorithms. In KDD-2001.
What You Store Is What You Get (Extended Abstract) - Geerts, Goethals, Mielikäinen (Correct)
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Z. Zheng, R. Kohavi, and L. Mason. Real world performance of association rule algorithms. In F. Provost and R. Srikant, editors, Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 401--406. ACM Press, 2001.
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Zheng Z., Kohavi R., Mason L.: Real World Performance of Association Rule Algorithms. Proc. of the 7th KDD Conference (2001)
ARMOR: Association Rule Mining based on ORacle - Pudi, Haritsa (Correct)
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Z. Zheng, R. Kohavi, and L. Mason. Real world performance of association rule algorithms. In Proc. of Intl. Conf. on Knowledge Discovery and Data Mining (KDD), Aug. 2001.
BAMBOO: Accelerating Closed Itemset Mining by Deeply Pushing.. - Wang, Karypis (3 citations) (Correct)
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Z. Zheng, R. Kohavi, and L. Mason, Real world performance of association rule algorithms, SIGKDD'01, Aug. 2001.
On Efficiency of Dataset Filtering Implementations in.. - WOJCIECHOWSKI.. (Correct)
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Z. Zheng, R. Kohavi, L. Mason, Real World Performance of Association Rule Algorithms. Proc. of the 7th KDD Conference, 2001.
BAMBOO: Accelerating Closed Itemset Mining by Deeply Pushing.. - Wang, Karypis (3 citations) (Correct)
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Z. Zheng, R. Kohavi, and L. Mason, Real world performance of association rule algorithms, SIGKDD'01, Aug. 2001.
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Z. Zheng, R. Kohavi, and L. Mason. Real world performance of association rule algorithms. In Proc. KDD, pages 401--406, 2001.
Comparing two Recommender Algorithms with the Help Of.. - Hahsler (2003) (Correct)
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Zheng, Z., Kohavi, R., Mason, L.: Real world performance of association rule algorithms. In Provost, F., Srikant, R., eds.: Proceedings of the 7th International Conference on Knowledge Discovery and Data Mining (ACM-SIGKDD), ACM Press (2001) 401--406
ExAnte: Anticipated Data Reduction in Constrained.. - Bonchi, Giannotti.. (2003) (Correct)
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Z. Zheng, R. Kohavi, and L. Mason. Real world performance of association rule algorithms. In F. Provost and R. Srikant, editors, Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 401--406, 2001.
Efficient Implementations of Apriori and Eclat - Christian Borgelt Department (Correct)
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Z. Zheng, R. Kohavi, and L. Mason. Real World Performance of Association Rule Algorithms. In: Proc. 7th Int. Conf. on Knowledge Discovery and Data Mining (SIGKDD'01). ACM Press, New York, NY, USA 2001
Thesis Proposal - Ruoming Jin Department (Correct)
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Z. Zheng, R. Kohavi, and L. Mason. Real World Performance of Association Rule Algorithms. In Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pages 401-406. ACM Press, August 2001.
A Scalable Multi-Strategy Algorithm for Counting.. - Orlando, Palmerini.. (2002) (Correct)
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Z. Zheng, R. Kohavi, and L. Mason. Real World Performance of Association Rule Algorithms. In Proc. of KDD-2001.
Adaptive and Resource-Aware Mining of Frequent Sets - Orlando Palmerini Perego (2002) (7 citations) (Correct)
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Z. Zheng, R. Kohavi, and L. Mason. Real World Performance of Association Rule Algorithms. In Proc. of KDD-2001.
Average Case Performance of the Apriori Algorithm - Paul Purdom Dirk (Correct)
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Zijian Zheng, Ron Kohavi and Llew Mason, Real World Performance of Association Rule Algorithms, in Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp 401--406, 2001.
Maintaining Data Privacy in Association Rule Mining - Shariq Rizvi Jayant (2002) (25 citations) (Correct)
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Z. Zheng, R. Kohavi and L. Mason, "Real World Performance of Association Rule Algorithms", Proc. of 7th ACM SIGKDD Intl. Conference on Knowledge Discovery and Data Mining (KDD), August 2001.
On the Efficiency of Association-rule Mining Algorithms - Pudi, Haritsa (2002) (Correct)
No context found.
Z. Zheng, R. Kohavi, and L. Mason. Real world performance of association rule algorithms. In Intl. Conf. on Knowledge Discovery and Data Mining (SIGKDD), August 2001.
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