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Big Data Research, Volume 9

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Volume 9, September 2017

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Reuven Cohen, Liran Katzir, Aviv Yehezkel:
Cardinality Estimation Meets Good-Turing. 1-8
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Sabeur Aridhi, Alberto Montresor, Yannis Velegrakis:
BLADYG: A Graph Processing Framework for Large Dynamic Graphs. 9-17
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Dinesh J. Prajapati, Sanjay Garg, Narendra C. Chauhan:
MapReduce Based Multilevel Consistent and Inconsistent Association Rule Detection from Big Data Using Interestingness Measures. 18-27
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Robin Genuer, Jean-Michel Poggi, Christine Tuleau-Malot, Nathalie Villa-Vialaneix:
Random Forests for Big Data. 28-46
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Junwhan Kim:
Partial Rollback-based Scheduling on In-memory Transactional Data Grids. 47-56
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Misha Ahmadian, Yu Zhuang, William L. Hase, Yong Chen:
Data Reduction Through Increased Data Utilization in Chemical Dynamics Simulations. 57-66
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Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Fabio Pulvirenti, Luca Venturini:
Frequent Itemsets Mining for Big Data: A Comparative Analysis. 67-83

Special section

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Pavel Efros, Erik Buchmann, Adrian Englhardt, Klemens Böhm:
How to Quantify the Impact of Lossy Transformations on Event Detection. 84-97
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Navroop Kaur, Sandeep K. Sood:
Efficient Resource Management System Based on 4Vs of Big Data Streams. 98-106

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