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[PDF] Top 20 Parallel Itemset Mining in Massively Distributed Environments

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Parallel Itemset Mining in Massively Distributed Environments

Parallel Itemset Mining in Massively Distributed Environments

... Miki mining is a key problem in data analytics with high potential impact on various tasks such as supervised learning [24], unsupervised learning [73] or information retrieval [71], to cite a ...results, ... Voir le document complet

114

Parallel itemset mining in massively distributed environments

Parallel itemset mining in massively distributed environments

... Fast Mining of Frequent Itemset correlations of ...Frequent itemset mining (FIM for short), and presents an essential and fundamental role in many ...domains. In business and ... Voir le document complet

114

Parallel Itemset Mining in Massively Distributed Environments

Parallel Itemset Mining in Massively Distributed Environments

... update in the stream. For Figure 5.1, this is still ABC in w2, but this might not be the case after a few ...updates. In the last few years, some new miki algorithms have been developed [108, ... Voir le document complet

154

A Practical Data-Driven Framework for Parallel Data Mining

A Practical Data-Driven Framework for Parallel Data Mining

... for parallel data mining are still not widely ...performed in the area of parallel data mining ...used in the ...data mining tasks while maximizing re-use of existing ... Voir le document complet

8

A Prime Number Based Approach for Closed Frequent Itemset Mining in Big Data

A Prime Number Based Approach for Closed Frequent Itemset Mining in Big Data

... Abstract. Mining big datasets poses a number of challenges which are not easily addressed by traditional mining methods, since both memory and computational requirements are hard to ...of parallel ... Voir le document complet

9

Hiding in the Crowd: A Massively Distributed Algorithm for Private Averaging with Malicious Adversaries

Hiding in the Crowd: A Massively Distributed Algorithm for Private Averaging with Malicious Adversaries

... collected in our everyday interactions with connected devices offers great opportunities for innovative services fueled by machine learning, as well as raises serious concerns for the privacy of ...individuals. ... Voir le document complet

18

Approximation Algorithm for Estimating Distances in Distributed Virtual Environments

Approximation Algorithm for Estimating Distances in Distributed Virtual Environments

... messages. In general, increas- ing the number of communications between players contributes both to responsiveness (changes are transmitted earlier) and consistency (more messages allow a more accurate knowledge ... Voir le document complet

35

A distributed architecture for programming environments

A distributed architecture for programming environments

... L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignemen[r] ... Voir le document complet

25

Design, data mining and analysis of hyperactive environments

Design, data mining and analysis of hyperactive environments

... Figure 5-4 Decision Tree for Determination of Hyperactive Environment Rank with Student Year, Preference for Lab Environment, Experience with Rotameter Calibration, and Sup[r] ... Voir le document complet

105

Relevance of Massively Distributed Explorations of the Internet Topology: Simulation Results

Relevance of Massively Distributed Explorations of the Internet Topology: Simulation Results

... bias in- duced by the exploration have been studied [9], [23], [24], [25], [36], ...[39]. In particular in [25] it is shown that under simple assumptions it is possible to obtain a view with an heavy ... Voir le document complet

12

A Massively Parallel Method for the Full Waveform Inversion in Geophysics: Current Status and Perspectives

A Massively Parallel Method for the Full Waveform Inversion in Geophysics: Current Status and Perspectives

... Calandra, Henri and Diouane, Youssef and Gratton, Serge and Vasseur, Xavier A Massively Parallel Method for the Full Waveform Inversion in Geophysics: Current Status and Perspectives... [r] ... Voir le document complet

2

A 10 000 fps CMOS Sensor With Massively Parallel Image Processing

A 10 000 fps CMOS Sensor With Massively Parallel Image Processing

... intrapixel, in which processing is performed on the indi- vidual pixels in order to improve image quality, such as the clas- sical Active Pixel Sensor or APS [8], [28] as shown in ...pixels in ... Voir le document complet

13

An XFEM/CZM implementation for massively parallel simulations of composites fracture

An XFEM/CZM implementation for massively parallel simulations of composites fracture

... use in many industries, composites are the subject of many research ...sacrificed in favor of scalability, and vice versa. In an effort to preserve both properties, we present here an extended finite ... Voir le document complet

20

A Massively Parallel Combinatorial Optimization Algorithm for the Costas Array Problem

A Massively Parallel Combinatorial Optimization Algorithm for the Costas Array Problem

... コスタス配置問題に対する超並列組み合わせ最適化解法 Florian Richoux ナント大学ナント大西洋情報学研究所(LINA) Yves Caniou 東京大学日仏情報学連携研究拠点(JFLI) Philippe Codognet 東京大学日仏情報学連携研究拠点(JFLI) 須田礼 仁 東京大学情報理工学系研究科 1.はじめに 並列計算は数値シミュレーションをはじ[r] ... Voir le document complet

11

Massively parallel recordings in macaque motor cortex during an instructed delayed reach-to-grasp task

Massively parallel recordings in macaque motor cortex during an instructed delayed reach-to-grasp task

... 1-16 in the Plexon Offline Sorter) by considering the amplitude of the waveform (the higher the better), the outcomes of the ISI analysis (no or low number of spikes with an ISI smaller than 2 ms), the correlation ... Voir le document complet

24

Static mapping of real-time applications onto massively parallel processor arrays

Static mapping of real-time applications onto massively parallel processor arrays

... used in multiprocessor systems-on-chips (MPSoCs) pose significant challenges to both on-line (dynamic) and off-line (static) real-time scheduling ap- ...unprecedented in real-time ...target massively ... Voir le document complet

11

Off-line mapping of real-time applications onto massively parallel processor arrays

Off-line mapping of real-time applications onto massively parallel processor arrays

... cores in an MPPA means that applications are also likely to include parallelized code which is best modeled by large sets of relatively small dependent tasks with predictable functional and temporal behavior [39, ... Voir le document complet

24

PGLCM: efficient parallel mining of closed frequent gradual itemsets

PGLCM: efficient parallel mining of closed frequent gradual itemsets

... 2010 in a dataset of weekly ...found in this dataset and our effort to explain them by searching in current events (newspapers, other ...C) in the same time (42.86% in 14 total ... Voir le document complet

35

Modelling multi-domain large deformation problems using an Eulerian monolithic approach in a massively parallel environment

Modelling multi-domain large deformation problems using an Eulerian monolithic approach in a massively parallel environment

... This work is one of the first attempts applying fully Eulerian Approach to Model large deformation problems. Therefore, the capacity of this approach is tested to determine necessary developments. The friction between ... Voir le document complet

196

A massively parallel CFD/DEM approach for reactive gas-solid flows in complex geometries using unstructured meshes

A massively parallel CFD/DEM approach for reactive gas-solid flows in complex geometries using unstructured meshes

... case in general CFD ...implemented in the I- Collide [13] collision detection package, is a “feature-based” algo- rithm designed for arbitrary complex 3D polyhedra ...[14] in order to overcome these ... Voir le document complet

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