Scatter/Gather: a cluster-based approach to browsing large document collections
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Constant interaction-time scatter/gather browsing of very large document collections
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
On-line hierarchical clustering
Pattern Recognition Letters
ACM Computing Surveys (CSUR)
Clustering of interval data based on city-block distances
Pattern Recognition Letters
QoS computation and policing in dynamic web service selection
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
New clustering methods for interval data
Computational Statistics
Similarity search for web services
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Web Service Discovery with additional Semantics and Clustering
WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
Symbolic Data Analysis and the SODAS Software
Symbolic Data Analysis and the SODAS Software
Dealing with Quality Tradeoffs during Service Selection
ICAC '08 Proceedings of the 2008 International Conference on Autonomic Computing
A Semantic QoS-Aware Discovery Framework for Web Services
ICWS '08 Proceedings of the 2008 IEEE International Conference on Web Services
Adaptive Quality Recommendation Mechanism for Software Service Provisioning
ICWS '08 Proceedings of the 2008 IEEE International Conference on Web Services
Top-k dominant web services under multi-criteria matching
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Web service clustering using multidimensional angles as proximity measures
ACM Transactions on Internet Technology (TOIT)
Dynamicity vs. effectiveness: studying online clustering for scatter/gather
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Mixed-Integer Programming for QoS-Based Web Service Matchmaking
IEEE Transactions on Services Computing
Discovering Homogeneous Web Service Community in the User-Centric Web Environment
IEEE Transactions on Services Computing
Clustering Web Services for Automatic Categorization
SCC '09 Proceedings of the 2009 IEEE International Conference on Services Computing
QoS Browsing for Web Service Selection
ICSOC-ServiceWave '09 Proceedings of the 7th International Joint Conference on Service-Oriented Computing
Computing Service Skyline from Uncertain QoWS
IEEE Transactions on Services Computing
Web services discovery and rank: An information retrieval approach
Future Generation Computer Systems
Ranking and Clustering Web Services Using Multicriteria Dominance Relationships
IEEE Transactions on Services Computing
Multi-group QoS consensus for web services
Journal of Computer and System Sciences
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Many of the current Quality of Service (QoS) based web service selection systems assume that users will formulate QoS queries accurately. However, this may not always be the case. It would be helpful if users could browse through the QoS data of the service repository before they start the searching process. In this way, they could know what the actual QoS value distributions are, so that they could put down reasonable numbers in their QoS queries. The browsing process performed on QoS queries, on the other hand, could help service providers understand the actual QoS demands from users. In this paper, we propose to use the Scatter/Gather model-a well-known browsing model for large document collections, to implement QoS browsing. We modified the original model to make it fit QoS data and implemented a few variations of the model. We tested and compared performance on both synthetic and real QoS datasets, mainly focusing on the ability to handle real time interaction with users while balancing efficiency and accuracy.