Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SC |
2017-06-02 16:25 |
Fukushima |
University of Aizu(UBIC 3D) |
Customizable Transaction and QoS-aware Selection Approach for Big Data Analytics Automation on the Automatic Service Composition Akila Siriweera, Incheon Paik (Univ. of Aizu) SC2017-7 |
[more] |
SC2017-7 pp.33-40 |
SC |
2017-06-03 09:00 |
Fukushima |
University of Aizu(UBIC 3D) |
Service Discovery on Service Network Constructed by Word Embedding Takeyuki Miyagi, Incheon Paik (Univ. of Aizu) SC2017-9 |
Service discovery and composition are a challenging issue for service computing when providing value-added services. Exi... [more] |
SC2017-9 pp.47-51 |
SC |
2017-03-10 14:15 |
Tokyo |
National Institute of Informatics |
QoS aware Traffic Efficient Web Service Selection in BigData Space Akila Siriweera, Incheon Paik (University of Aizu) SC2016-32 |
[more] |
SC2016-32 pp.19-25 |
SC |
2016-11-04 11:30 |
Hyogo |
Takigawa Memorial Hall, Kobe Univ. |
Web Service Clustering through Calculating Semantic Similarity of Web Services using Novel Ontology Learning Method Rupasingha Arachchilage Hiruni Madhusha Rupasingha, Incheon Paik (UOA), Banage Thenne Gedara Samantha Kumara (SUSL) SC2016-21 |
Web service clustering is playing a major role in the efficient Web service discovery and
recommendation. Clustering is... [more] |
SC2016-21 pp.13-18 |
SC |
2016-11-04 11:55 |
Hyogo |
Takigawa Memorial Hall, Kobe Univ. |
QoS-aware Traffic Efficient Service Selection Akila Siriweera, Incheon Paik (University of Aizu) SC2016-22 |
[more] |
SC2016-22 pp.19-22 |
SC |
2016-08-26 11:00 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. B2F Room No.2 |
Improvement of Trust Value Prediction Using Text Mining for Recommender System Incheon Paik, Tomoya Maemori (UoA) SC2016-12 |
Recommender system will help to provide a list of items information that users are interested in. And with growth of soc... [more] |
SC2016-12 pp.7-11 |
SC |
2016-06-03 15:25 |
Fukushima |
The University of Aizu |
Improving Web Service Clustering using Ontology Learning with Machine Learning Rupasingha Arachchilage Hiruni Madhusha Rupasingha, Incheon Paik (UoA), Banage Thenne Gedara Samantha Kumara (SUSL) SC2016-6 |
[more] |
SC2016-6 pp.23-28 |
SC |
2016-06-03 15:50 |
Fukushima |
The University of Aizu |
Construction of Global Social Service Network for Discovery Based on Big Data Infrastructure Yutaka Koshiba, Incheon Paik, Wuhui Chen (Aizu Univ.) SC2016-7 |
[more] |
SC2016-7 pp.29-34 |
SC |
2016-06-04 10:00 |
Fukushima |
The University of Aizu |
Big Data Analytic Service Discovery using Social Service Network with Workflow Awareness Akila Siriweera, Incheon Paik (University of Aizu) SC2016-9 |
[more] |
SC2016-9 pp.39-44 |
SC |
2016-06-04 10:25 |
Fukushima |
The University of Aizu |
Evaluation of a Web Page Readability Using Ontology Reasoning Yui Takeda, Incheon Paik (UOA) SC2016-10 |
[more] |
SC2016-10 pp.45-49 |
SC |
2016-06-04 11:05 |
Fukushima |
The University of Aizu |
[Poster Presentation]
Performance Evaluation of Taxonomy Classification Using Machine Learning Hikaru Sakai, Rupasingha Arachchilage Hiruni Madhusha Rupasingha, Incheon Paik (UoA) |
[more] |
|
SC |
2016-01-15 13:30 |
Kyoto |
Kyoto University (Design Innovation Center) |
Workflow Transformation for Real-Time Big Data Processing Yuji Ishizuka, Wuhui Chen, Incheon Paik (University of Aizu) SC2015-16 |
With the explosion of big data, processing and analyzing large numbers of continuous data streams in real-time, such as ... [more] |
SC2015-16 pp.7-12 |
SC |
2015-10-02 14:00 |
Tokyo |
NII |
Optimal Data Placement Considering Parallel Processing on Geo-Distributed Big Data Center Takazumi Tanaka, Incheon Paik, Wuhui Chen (Aizu Univ.) SC2015-10 |
[more] |
SC2015-10 pp.7-12 |
SC |
2015-06-05 15:55 |
Tokyo |
National Institute of Informatics 12F 1210/1208 |
An Architecture to Intelligent Big Data Analysis T H A S Siriweera, Incheon Paik, Banage T G S Kumara, K R C Koswatta (UOA) SC2015-7 |
[more] |
SC2015-7 pp.33-36 |
SC |
2015-06-05 16:20 |
Tokyo |
National Institute of Informatics 12F 1210/1208 |
Workflow Generation for Service Composition of Big Data Analytics T H A S Siriweera, Incheon Paik, Banage T G S Kumara, K R C Koswatta (UOA) SC2015-8 |
[more] |
SC2015-8 pp.37-42 |
SC |
2015-03-27 13:05 |
Fukushima |
Aizu Univ. |
Web Service Discovery with Domain Specific Context Awareness Banage Thenne Gedara Samantha Kumara, Incheon Paik, Koswatte Ralalage Chathurika Koswatte, Akila Siriweera (University of Aizu) SC2014-14 |
Service discovery is the process of finding the appropriate services for user request from set of services. Service matc... [more] |
SC2014-14 pp.1-6 |
SC |
2015-03-27 13:30 |
Fukushima |
Aizu Univ. |
Towards Meta-Framework for Semantic TRIZ Koswatte Ralalage Chathurika Koswatte, Incheon Paik, Banage Thenne Gedara Samantha Kumara (University of Aizu) SC2014-15 |
Supply chain management (SCM) is one of the promising management strategies in enterprises for knowledge management, e-b... [more] |
SC2014-15 pp.7-12 |
SC |
2015-03-28 09:00 |
Fukushima |
Aizu Univ. |
Topology-aware Heuristic Data Allocation Algorithm for Big Data Infrastructure Wuhui Chen, Tetsuya Tashiro, Incheon Paik, Samantha Kumara (Aizu Univ.) SC2014-23 |
A novel optimal data replacement technique considering global data access cost to improve the performance of MapReduce i... [more] |
SC2014-23 pp.55-60 |
SC |
2015-03-28 09:25 |
Fukushima |
Aizu Univ. |
E-Learning Architectural Solution Using Hybrid Cloud Concept T H A S Siriweera, Incheon Paik, B T G S Kumara, K R C Koswatte (University of Aizu) SC2014-24 |
With the increasing of requirements of learning and academic perspective, there is no way to find a solution to full fil... [more] |
SC2014-24 pp.61-64 |
SC |
2015-03-28 09:50 |
Fukushima |
Aizu Univ. |
Mobile transactions on network society Rupasingha Arachchilage Hiruni Madhusha Rupasingha (Sabaragamuwa University of Sri Lanka), Incheon Paik (University of Aizu), Sugeeswari Lekamge (Nagaoka University of Technology) SC2014-25 |
Mobile transaction is now a rapidly growing trend in the world. Some countries have already implemented the technology w... [more] |
SC2014-25 pp.65-70 |