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High-Utility Itemset Mining with Effective Pruning Strategies
ACM Transactions on Knowledge Discovery from Data, 2019High-utility itemset mining is a popular data mining problem that considers utility factors, such as quantity and unit profit of items besides frequency measure from the transactional database. It helps to find the most valuable and profitable products/items that are difficult to track by using only the frequent itemsets.
Jimmy Ming-Tai Wu +2 more
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On the strategy to follow for skeleton pruning
2013Pruning is an important step in a skeletonization process and a number of pruning criteria have been suggested in the literature. However, the modality to be followed when checking the pruning criterion is not generally described in detail. In our opinion, two main pruning modalities can be envisaged and in this paper we discuss their impact on the ...
Frucci M +3 more
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Pruning Strategies for Partial Search in Spoken Term Detection
Proceedings of the Eighth International Symposium on Information and Communication Technology, 2017In this paper, we propose a partial search approach for subword-based keyword search (KWS) systems. The proposed approach addresses the problem of high miss rate in the conventional full sequence matching approach by retaining detections that only contain some partial sequences.
Van Tung Pham +4 more
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Scalable duplicate pruning strategies for parallel A* graph search
Proceedings of 1993 5th IEEE Symposium on Parallel and Distributed Processing, 2002In parallel A* graph search on distributed-memory machines, different processors may perform significant duplicated work if inter-processor duplicates are not pruned. The only known method for duplicate pruning associates a particular processor with each distinct node of the search space using a suitable hash function.
Nihar R. Mahapatra, Shantanu Dutt
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Complexity of pruning strategies for the frequency domain LMS algorithm
Signal Processing, 2006Large adaptive filters are frequently used in diverse applications such as channel equalization, interference suppression, beamforming, etc. The least mean squared (LMS) algorithm and its variants form one of the basic building blocks of adaptive systems.
Raghavan, V. +2 more
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Wielding Occam's Razor: Pruning Strategies for Economic Loss
Oxford Journal of Legal Studies, 2006The English Court of Appeal is currently faced with three analytically distinct approaches to the question of when one party owes another a duty of care in respect of her economic interests, all of which bear the authority of the House of Lords. Unable to choose between them, it has recently adopted a fourth approach combining which combines them, in ...
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K-anycasting strategies in networks: To grow or to prune?
MILCOM 2016 - 2016 IEEE Military Communications Conference, 2016Disseminating content to a given subset of nodes in a network in a cost-effective manner is a fundamental problem in networks, and is referred to as multicast. If reaching all the nodes in the set is not necessary and reaching a quorum of size k within the set is sufficient, then the problem is referred to as k-anycast or any-k-cast.
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