195 Result(s)
within
**hu Li
Popular Science
Information Systems Applications (incl. Internet)
-
Chapter and Conference Paper
Towards a Type-2 Fuzzy Description Logic for Semantic Search Engine
Classical description logics are limited in dealing with the crisp concepts and relationships, which makes it difficult to represent and process imprecise information in real applications. In this paper we pre...
-
Chapter and Conference Paper
Novel NonGaussianity Measure Based BSS Algorithm for Dependent Signals
The purpose of this paper is to develop novel Blind Source Separation (BSS) algorithms from linear mixtures of them, which enable to separate dependent source signals. Most of the proposed algorithms for solvi...
-
Chapter and Conference Paper
Efficient Algorithms for Historical Continuous kNN Query Processing over Moving Object Trajectories
In this paper, we investigate the problem of efficiently processing historical continuous k-Nearest Neighbor (HCkNN) queries on R-tree-like structures storing historical information about moving object trajectori...
-
Chapter and Conference Paper
Promotional Ranking of Search Engine Results: Giving New Web Pages a Chance to Prove Their Values
Recent studies show that the link-structure-based measures of Web page popularity prolong the procedure of new pages reaching their deserved ranking. In this paper we propose a promotional ranking scheme that ...
-
Chapter and Conference Paper
Privacy Inspection and Monitoring Framework for Automated Business Processes
More and more personal data is exposed to automatic and programmatic access, making it more difficult to safeguard the personal information from unauthorised access at every step. We introduce a privacy inspec...
-
Chapter and Conference Paper
A QoS-Guaranteeing Scheduling Algorithm for Continuous Queries over Streams
The increasing demand on streaming data processing has motivated the study of providing Quality of Service (QoS) for data stream processing. Especially for mission-critical applications, deterministic QoS requ...
-
Chapter and Conference Paper
Attributes Reduction Based on GA-CFS Method
The selection and evaluation task of attributes is of great importance for knowledge-based systems. It is also a critical factor affecting systems’ performance. By using the genetic operator as the searching a...
-
Chapter and Conference Paper
Using Structured Tokens to Identify Webpages for Data Extraction
As the web grows, more and more data has become available from webpages, such as the product items from the back-end databases. To provide efficient access to the data objects contained in these pages, data ex...
-
Chapter and Conference Paper
SAM: An Efficient Algorithm for F&B-Index Construction
Using index to process structural queries on XML data is a natural way. F&B-Index has been proven to be the smallest index which covers all branching path queries. One disadvantage which prevents the wide usag...
-
Chapter and Conference Paper
Protecting and Recovering Database Systems Continuously
Data protection is widely deployed in database systems, but the current technologies (e.g. backup, snapshot, mirroring and replication) can not restore database systems to any point in time. This means that da...
-
Chapter and Conference Paper
Efficient Keyword Search over Data-Centric XML Documents
We in this paper investigate keyword search over data-centric XML documents. We first present a novel method to divide an XML document into self-integrated subtrees, which are connected subtrees and can captur...
-
Chapter and Conference Paper
An Assessment of the Currency of Free Science Information on the Web
As the Internet has become a ubiquitous tool in modern science, it is increasingly important to evaluate the currency of free science information on the web. However, there are few empirical studies which have...
-
Chapter and Conference Paper
Distributed, Hierarchical Clustering and Summarization in Sensor Networks
We propose DHCS, a method of distributed, hierarchical clustering and summarization for online data analysis and mining in sensor networks. Different from the acquisition and aggregation of raw sensory data, o...
-
Chapter and Conference Paper
A Simple But Effective Event-Driven Model for Data Stream Queries
With expanding of query requirements, event-relative semantic has appeared for data stream applications. This paper builds a simple but effective event-driven data stream model EQM based on event semantics and fe...
-
Chapter and Conference Paper
A Recommender System with Interest-Drifting
Collaborative filtering and content-based recommendation methods are two major approaches used in recommender systems. These two methods have some drawbacks in dealing with situations such as sparse data and c...
-
Chapter and Conference Paper
APCAS: An Approximate Approach to Adaptively Segment Time Series Stream
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 propos...
-
Chapter and Conference Paper
An Efficient Spatial Search Method Based on SG-Tree
To solve the overlap** search of multidimensional spatial database containing large quantity of objects with dynamic spatial extent, this paper proposes an index structure named Space Grid Tree (SG-Tree) bas...
-
Chapter and Conference Paper
Handover for Seamless Stream Media in Mobile IPv6 Network
In mobile IPv6 network, the handoff latency for mobile node challenges service quality of real-time stream media applications. This paper proposes an improved handover scheme for stream media applications, whi...
-
Chapter and Conference Paper
SeCED-FS: A New Approach for the Classification and Discovery of Significant Regions in Medical Images
A novel diagnosis method named SeCED-FS is proposed in this paper. The method combines the clusterer ensemble and feature selection technique to improve the diagnosis performance. At first, selective clusterer...
-
Chapter and Conference Paper
Extracting Trend of Time Series Based on Improved Empirical Mode Decomposition Method
Solving overshoot and undershoot problems existed in the spline interpolation of empirical mode decomposition (EMD), improving this method and extracting trend of time series with it are the main tasks of this...
