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ORCIDMohammadhossein Barkhordari
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Journal Articles
- 2018
[j8]Mohammadhossein Barkhordari, Mahdi Niamanesh:
Hengam a MapReduce-Based Distributed Data Warehouse for Big Data: A MapReduce-Based Distributed Data Warehouse for Big Data. Int. J. Artif. Life Res. 8(1): 16-35 (2018)- [j7]Mohammadhossein Barkhordari, Mahdi Niamanesh:
Kavosh: an effective Map-Reduce-based association rule mining method. J. Big Data 5: 25 (2018) - [j6]Mohammadhossein Barkhordari, Mahdi Niamanesh:
Chabok: a Map-Reduce based method to solve data warehouse problems. J. Big Data 5: 40 (2018) - [j5]Mohammadhossein Barkhordari, Mahdi Niamanesh:
Arvand: A Method to Integrate Multidimensional Data Sources Into Big Data Analytic Structures. J. Inf. Sci. Eng. 34(2): 505-518 (2018) - 2017
- [j4]Mohammadhossein Barkhordari, Mahdi Niamanesh:
Aras: A Method with Uniform Distributed Dataset to Solve Data Warehouse Problems for Big Data. Int. J. Distributed Syst. Technol. 8(2): 47-60 (2017) - [j3]Mohammadhossein Barkhordari, Mahdi Niamanesh:
ScaDiGraph: A MapReduce-based Method for Solving Graph Problems. J. Inf. Sci. Eng. 33(1): 143-158 (2017) - [j2]Mohammadhossein Barkhordari, Mahdi Niamanesh:
Atrak: a MapReduce-based data warehouse for big data. J. Supercomput. 73(10): 4596-4610 (2017) - 2015
- [j1]Mohammadhossein Barkhordari
, Mahdi Niamanesh:
ScaDiPaSi: An Effective Scalable and Distributable MapReduce-Based Method to Find Patient Similarity on Huge Healthcare Networks. Big Data Res. 2(1): 19-27 (2015)
Conference and Workshop Papers
- 2014
- [c1]Mohammadhossein Barkhordari, Mahdi Niamanesh:
ScadiBino: An effective MapReduce-based association rule mining method. ICEC 2014: 1
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