Efficient high utility itemset mining without the join operation. (English) Zbl 1543.68104
MSC:
68P15
Found 62 Documents (Results 1–62)
On the number of maximal antichains in Boolean lattices for \(n\) up to 7. (English) Zbl 07688799
Lobachevskii J. Math. 44, No. 1, 137-146 (2023); erratum ibid. 44, No. 4, 1528 (2023).
Interactive mining of probabilistic frequent patterns in uncertain databases. (English) Zbl 1504.68055
A two-stage integer programming model considering transaction equivalence for privacy preservation. (English) Zbl 1520.68033
An integrated cuckoo search-genetic algorithm for mining frequent itemsets. (English) Zbl 1496.68281
Introducing the closure structure and the GDPM algorithm for mining and understanding a tabular dataset. (English) Zbl 1529.68262
Inferring range of information diffusion based on historical frequent items. (English) Zbl 1494.62029
Towards a compact SAT-based encoding of itemset mining tasks. (English) Zbl 07493628
Stuckey, Peter J. (ed.), Integration of constraint programming, artificial intelligence, and operations research. 18th international conference, CPAIOR 2021, Vienna, Austria, July 5–8, 2021. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 12735, 163-178 (2021).
A hybrid iterated local search heuristic for the traveling salesperson problem with hotel selection. (English) Zbl 1510.90046
Summarization and visualization of multi-level and multi-dimensional itemsets. (English) Zbl 1457.68230
Grafting for combinatorial binary model using frequent itemset mining. (English) Zbl 1458.68172
MSC:
68T05
Minimizing information loss in shared data: hiding frequent patterns with multiple sensitive support thresholds. (English) Zbl 07260682
Effective approximation of parametrized closure systems over transactional data streams. (English) Zbl 1497.68440
Fast and effective cluster-based information retrieval using frequent closed itemsets. (English) Zbl 1440.68062
MSC:
68P20
Privacy-preserving mining of association rule on outsourced cloud data from multiple parties. (English) Zbl 1509.68065
Susilo, Willy (ed.) et al., Information security and privacy. 23rd Australasian conference, ACISP 2018, Wollongong, NSW, Australia, July 11–13, 2018. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 10946, 431-451 (2018).
MiningZinc: a declarative framework for constraint-based mining. (English) Zbl 1404.68106
MSC:
68T05
An efficient closed frequent itemset miner for the MOA stream mining system. (English) Zbl 1373.68333
MSC:
68T05
Weighted positive and negative association rules mining based on dynamic item weight and SCCI framework. (Chinese. English summary) Zbl 1349.68148
MSC:
68T05
An algorithm for mining high utility patterns based on pattern-growth. (Chinese. English summary) Zbl 1349.68064
Disclosed: an efficient depth-first, top-down algorithm for mining disjunctive closed itemsets in high-dimensional data. (English) Zbl 1355.68235
CP-tree: an adaptive synopsis structure for compressing frequent itemsets over online data streams. (English) Zbl 1354.68075
Expressive generalized itemsets. (English) Zbl 1354.68220
MSC:
68T05
A fast compound algorithm for mining generators, closed itemsets, and computing links between equivalence classes. (English) Zbl 1357.68186
An efficient rigorous approach for identifying statistically significant frequent itemsets. (English) Zbl 1281.68098
A new algorithm for fast mining frequent itemsets using N-lists. (English) Zbl 1270.68239
MSC:
68T05
MAX-FISM: mining (recently) maximal frequent itemsets over data streams using the sliding window model. (English) Zbl 1268.68071
Fast algorithm for computing fixpoints of Galois connections induced by object-attribute relational data. (English) Zbl 1239.68070
Mining frequent itemsets over distributed data streams by continuously maintaining a global synopsis. (English) Zbl 1235.68202
MSC:
68T05
Depth-first search algorithm for mining frequent closed itemsets. (Chinese. English) Zbl 1221.68236
Task-parallel FP-growth on cluster computers. (English) Zbl 1200.68091
Gelenbe, Erol (ed.) et al., Computer and information science. Proceedings of the 25th international symposium on computer and information sciences, London, UK, September 22–24, 2010. Dordrecht: Springer (ISBN 978-90-481-9793-4/hbk; 978-90-481-9794-1/ebook). Lecture Notes in Electrical Engineering 62, 383-388 (2010).
Integration of candidate hash trees in concurrent processing of frequent itemset queries using Apriori. (English) Zbl 1235.93093
Improvements of apriori algorithm. (English) Zbl 1240.68184
Simian, Dana (ed.), Modelling and development of intelligent systems. Proceedings of the first international conference, Sibiu, Romania, October 22–25, 2009. Sibiu: “Lucian Blaga” University Press. 106-114 (2009).
TCOM, an innovative data structure for mining association rules among infrequent items. (English) Zbl 1165.68385
Mining recent frequent itemsets in sliding windows over data streams. (English) Zbl 1324.68089
MSC:
68T05
Inverse frequent itemset mining based on FP-tree. (Chinese. English summary) Zbl 1199.68088
MSC:
68P15
Towards more parallel frequent itemset mining algorithms. (English) Zbl 1157.68523
Zheng, S. Q. (ed.), Parallel and distributed computing systems. Proceedings of the 19th IASTED international conference (PDCS 2007), Cambridge, MA, USA, November 19–21, 2007. Calgary: International Association of Science and Technology for Development (IASTED); Anaheim, CA: Acta Press (ISBN 978-0-88986-704-8/CD-ROM). 97-103 (2007).
An efficient polynomial space and polynomial delay algorithm for enumeration of maximal motifs in a sequence. (English) Zbl 1123.68134
Applying frequent itemset mining to identify a small itemset that satisfies a large percentage of orders in a warehouse. (English) Zbl 1113.90092
MSC:
90B90
Private itemset support counting. (English) Zbl 1122.68494
Qing, Sihan (ed.) et al., Information and communications security. 7th international conference, ICICS 2005, Beijing, China, December 10–13, 2005. Proceedings. Berlin: Springer (ISBN 3-540-30934-9/pbk). Lecture Notes in Computer Science 3783, 97-111 (2005).
Identifying approximate itemsets of interest in large databases. (English) Zbl 1033.68042
MSC:
68P15
A new incremental data mining algorithm using pre-large itemsets. (English) Zbl 1088.68568
Intell. Data Anal. 5, No. 2, 111-129 (2001).
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