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Big Data Research, Volume 9
Volume 9, September 2017
- Reuven Cohen, Liran Katzir, Aviv Yehezkel:
Cardinality Estimation Meets Good-Turing. 1-8 - Sabeur Aridhi
, Alberto Montresor
, Yannis Velegrakis
:
BLADYG: A Graph Processing Framework for Large Dynamic Graphs. 9-17 - 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 - Robin Genuer, Jean-Michel Poggi, Christine Tuleau-Malot, Nathalie Villa-Vialaneix:
Random Forests for Big Data. 28-46 - Junwhan Kim
:
Partial Rollback-based Scheduling on In-memory Transactional Data Grids. 47-56 - Misha Ahmadian
, Yu Zhuang, William L. Hase
, Yong Chen
:
Data Reduction Through Increased Data Utilization in Chemical Dynamics Simulations. 57-66 - Daniele Apiletti
, Elena Baralis, Tania Cerquitelli, Paolo Garza
, Fabio Pulvirenti
, Luca Venturini
:
Frequent Itemsets Mining for Big Data: A Comparative Analysis. 67-83
- Pavel Efros, Erik Buchmann, Adrian Englhardt, Klemens Böhm:
How to Quantify the Impact of Lossy Transformations on Event Detection. 84-97 - Navroop Kaur
, Sandeep K. Sood
:
Efficient Resource Management System Based on 4Vs of Big Data Streams. 98-106
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