A Distributed Processing Method for Design Patent Retrieval System

2011 ◽  
pp. 166-174
Author(s):  
Jiang-Zhong Cao ◽  
Jian-Wei Zhu ◽  
Xian-Wei Wang ◽  
Qing-Yun Dai
Keyword(s):  
Retrieval System ◽  
Distributed Processing ◽  
Processing Method ◽  
Patent Retrieval ◽  
Design Patent

scholarly journals Distributed Processing Method on the Calculationfor the Search of All Solution

2013 ◽  
Vol 12 (3) ◽  
pp. 172-180
Author(s):  
Makoto YABE ◽  
Teppei TAMAKI ◽  
Minoru TAKEDA ◽  
Junichi KOIZUMI ◽  
Kazuyoshi UEDA
Keyword(s):  
Distributed Processing ◽  
Processing Method

Spark based Distributed Processing Method for Sharing Big Traffic Data in Realtime

2016 ◽  
Vol 14 (2) ◽  
pp. 107 ◽  
Author(s):  
Dojin Choi ◽  
Bosung Kim ◽  
Insoo Bae ◽  
Yoonsik Kwak ◽  
Seokil Song
Keyword(s):  
Distributed Processing ◽  
Processing Method ◽  
Traffic Data ◽  
Big Traffic Data

Large-Scale Data Mining and Distributed Processing in Big Data Internet

2014 ◽  
Vol 989-994 ◽  
pp. 4594-4597
Author(s):  
Chun Zhi Xing
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Decision Tree ◽  
Large Scale ◽  
Distributed Processing ◽  
Processing Method ◽  
Decision Tree Algorithm ◽  
Data Query ◽  
Large Scale Data ◽  
Scale Data

With the development of Internet, various Internet-based large-scale data are facing increasing competition. With the hope of satisfying the need of data query, it is necessary to use data mining and distributed processing. As a consequence, this paper proposes a large-scale data mining and distributed processing method based on decision tree algorithm.

An Approach of Semantic Similarity Measure between Documents Based on Big Data

2016 ◽  
Vol 6 (5) ◽  
pp. 2454 ◽  
Author(s):  
Mohammed Erritali ◽  
Abderrahim Beni-Hssane ◽  
Marouane Birjali ◽  
Youness Madani
Keyword(s):  
Big Data ◽  
Semantic Similarity ◽  
Retrieval System ◽  
Programming Model ◽  
State Of The Art ◽  
Distributed Processing ◽  
Similarity Measures ◽  
The State ◽  
Semantic Similarity Measure ◽  
Document Similarity

<p>Semantic indexing and document similarity is an important information retrieval system problem in Big Data with broad applications. In this paper, we investigate MapReduce programming model as a specific framework for managing distributed processing in a large of amount documents. Then we study the state of the art of different approaches for computing the similarity of documents. Finally, we propose our approach of semantic similarity measures using WordNet as an external network semantic resource. For evaluation, we compare the proposed approach with other approaches previously presented by using our new MapReduce algorithm. Experimental results review that our proposed approach outperforms the state of the art ones on running time performance and increases the measurement of semantic similarity.</p>

An AIPS-based, distributed processing method for large radio interferometric datasets

2013 ◽  
Vol 36 (1-2) ◽  
pp. 59-76 ◽  
Author(s):  
Stephen Bourke ◽  
Huib Jan van Langevelde ◽  
Karl Torstensson ◽  
Aaron Golden
Keyword(s):  
Distributed Processing ◽  
Processing Method
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