The proceedings contain 90 papers. The topics discussed include: data mining using fractals and power laws;exploring the power of links in data mining;tight correlated item sets and their efficient discovery;a new sim...
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ISBN:
(纸本)9783540724834
The proceedings contain 90 papers. The topics discussed include: data mining using fractals and power laws;exploring the power of links in data mining;tight correlated item sets and their efficient discovery;a new similarity measure for near duplicate video clip detection;using structured tokens to identify webpages for data extraction;a probabilistic reasoning approach for discovering web crawler sessions;mining invisible tasks from event logs;a survey of job scheduling in grids;relational nested optional join for efficient semantic web query processing;building data synopses within a known maximum error bound;efficient difference NN queries for moving objects;density analysis of winnowing on non-uniformdistributions;static verification of access control model for AXML documents;a formal design of web community interactivity;a type-based analysis for verifying web application;and attributes reduction based on GA-CFS method.
The proceedings contain 61 papers. The topics discussed include: towards multi-modal extraction and summarization of conversations;simple but effective porn query recognition by k-NN with semantic similarity measure;s...
ISBN:
(纸本)9783642006715
The proceedings contain 61 papers. The topics discussed include: towards multi-modal extraction and summarization of conversations;simple but effective porn query recognition by k-NN with semantic similarity measure;selective-NRA algorithms for top-k queries;probabilistic threshold range aggregate query processing over uncertain data;dynamic data migration policies for query-intensive distributed data environments;processing XML keyword search by constructing effective structured queries;finding irredundant contained rewritings of tree pattern queries using views;IRank: a term-based innovation ranking system for conferences and scholars;a generalized topic modeling approach for maven search;topic-level random walk through probabilistic model;rank aggregation to combine QoS in web search;automatic web image annotation via web-scale image semantic space learning;and representing and inferring causalities among classes of multidimensional data.
The use of services-oriented computing by enterprises has increased noticeably, with the aim of speeding up application processes and in response to changing e-business needs. This paper addresses the efficient proces...
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In this paper, we consider the quality of the page delivery as an important factor in the page ranking process. So if two pages have the same level of relevancy to a query, the one with a higher delivery quality (e.g....
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Composite web Service selection is one of the most important issues in web Service Composition. During the selection process, while the decision making during the selection process is much easy in the term of the func...
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In this paper, we propose an approach to compress data graph by exploiting connection relations which are some particular entity-relationship relations in relational databses. Our method not only call make a larger da...
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ISBN:
(纸本)9783540729082
In this paper, we propose an approach to compress data graph by exploiting connection relations which are some particular entity-relationship relations in relational databses. Our method not only call make a larger data graph fit in memory, but also can improve the performance of existing data graph search algorithms for keyword search over relational databases. Comprehensive experiments are conducted to show the effectiveness and efficiency of our method.
The correlation between keywords has been exploited to improve Automatic Image Annotation(AIA). Differing from the traditional lexicon or training data based keyword correlation estimation, we propose using web-scale ...
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We study the problem of segmenting time series stream. Existing segmenting methods for time series mainly focus on the static data, and may be infeasible under the circumstance of time series stream. We propose an app...
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Wireless sensor networks have enormous potential to aid data collection in a number of areas, such as environmental and wildlife research. In this paper, we study the problem of how to generate energy efficient aggreg...
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