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Voronoi-Based Geospatial Query Processing with MapReduce
TLDR
In this paper, we study the problem of parallel geos patial query processing with the MapReduce programming model and show that a large variety of GQs are intrinsically parallelizable. Expand
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Online Computation of Fastest Path in Time-Dependent Spatial Networks
TLDR
We study the online computation of fastest path in time-dependent spatial networks and present a technique which speeds-up the path computation. Expand
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Criticality-based analysis and design of unstructured peer-to-peer networks as "Complex systems"
TLDR
We characterize unstructured peer-to-peer networks as large-scale, self-configure, and dynamic systems, and propose a remedial approach with probabilistic flooding. Expand
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Efficient and Anonymous Web-Usage Mining for Web Personalization
TLDR
The World Wide Web (WWW) is the largest distributed information space and has grown to encompass diverse information resources. Expand
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WSPDS: Web Services Peer-to-Peer Discovery Service
TLDR
We developed WSPDS that is a decentralized and interoperable discovery service with peer-to-peer architecture for the Web Services infrastructure. Expand
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SWAM: a family of access methods for similarity-search in peer-to-peer data networks
TLDR
We formalize the more general problem of similarity-search in PDNs, and propose a family of distributed access methods, termed <i>Small-World Access Methods (SWAM)</i>, for efficient execution of various similarity- search queries, namely exact-match, range, and k-nearest-neighbor queries. Expand
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A case for time-dependent shortest path computation in spatial networks
TLDR
The problem of point-to-point shortest path computation in spatial networks is extensively studied with many approaches proposed to speed-up the computation. Expand
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Discovering patterns in traffic sensor data
TLDR
We exploit this dataset to rigorously verify two popular instinctive understandings about traffic flows on road segments: 1) each road segment has a typical traffic flow (known by local travelers) and one can often categorize road segments based on the similarity of their traffic flows. Expand
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Yoda: An Accurate and Scalable Web-Based Recommendation System
TLDR
We introduce a hybrid recommendation system that combines collaborative filtering (CF) and content-based querying to achieve higher accuracy. Expand
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A Framework for Efficient and Anonymous Web Usage Mining Based on Client-Side Tracking
TLDR
In this chapter, we describe a framework for WUM that particularly satisfies the challenging requirements of the web personalization applications. Expand
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