Results 41 to 50 of about 1,911,273 (156)
An Efficient Spark-Based Hybrid Frequent Itemset Mining Algorithm for Big Data
Data, 2022 Frequent itemset mining (FIM) is a common approach for discovering hidden frequent patterns from transactional databases used in prediction, association rules, classification, etc. Apriori is an FIM elementary algorithm with iterative nature used to find
Mohamed Reda Al-Bana +2 more
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Hardware transactional memory : a systems perspective [PDF]
, 2009 textThe increasing ubiquity of chip multiprocessor machines has made the need for accessible approaches to parallel programming all the more urgent. The current state of the art, based on threads and locks, requires the programmer to use mutual exclusion
Rossbach, Christopher John
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Discovery of Frequent Itemsets: Frequent Item Tree-Based Approach
Journal of ICT Research and Applications, 2013 Mining frequent patterns in large transactional databases is a highly researched area in the field of data mining. Existing frequent pattern discovering algorithms suffer from many problems regarding the high memory dependency when mining large amount of
A. V. Senthil Kumar, R. S. D. Wahidabanu
doaj
Modular transactional memory [PDF]
, 2010 Software transactional memory has the potential to greatly simplify development of concurrent software, by supporting safe composition of concurrent shared-state abstractions.
Brecknell, Matthew, Roe, Paul
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Transactional Memory in a Dynamic Language [PDF]
, 2009 Concurrency control is mostly based on locks and is therefore notoriously difficult to use. Even though some programming languages provide high-level constructs, these add complexity and potentially hard-to-detect bugs to the application.
Renggli, Lukas, Nierstrasz, Oscar
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Towards Composable Concurrency Abstractions [PDF]
Electronic Proceedings in Theoretical Computer Science, 2014 In the past decades, many different programming models for managing concurrency in applications have been proposed, such as the actor model, Communicating Sequential Processes, and Software Transactional Memory.
Janwillem Swalens +3 more
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Journal of Integrative Bioinformatics, 2020 In the field of computational biology, in order to simulate multiscale biological systems, the Cellular Potts Model (CPM) has been used, which determines the actions that simulated cells can perform by determining a hamiltonian of energy that takes into ...
Tomeu Antonio J., Salguero Alberto G.
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Store Atomicity for Transactional Memory [PDF]
, 2007 We extend the notion of Store Atomicity [Arvind and Jan-Willem Maessen. Memory model = instruction reordering + store atomicity. In ISCA '06: Proceedings of the 33rd annual International Symposium on Computer Architecture, 2006] to a system with atomic ...
Maessen, Jan-Willem, Arvind,
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Big Data Mining and Analytics, 2019 Graph data mining has been a crucial as well as inevitable area of research. Large amounts of graph data are produced in many areas, such as Bioinformatics, Cheminformatics, Social Networks, etc.
Bismita S. Jena +2 more
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08241 Summary – Transactional Memory : From Implementation to Application [PDF]
, 2008 A goal of current multiprocessor software design is to introduce parallelism into software applications by allowing operations that do not conflict in accessing memory to proceed concurrently. The key tool in designing concurrent data structures has been
Herlihy, Maurice +3 more
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