Geo-Spatial Knowledge and Intelligence
5th International Conference, GSKI 2017, Chiang Mai, Thailand, December 8-10, 2017, Revised Selected Papers, Part II
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Chapter and Conference Paper
Density Ratio Peak Clustering
Clustering is an important means of obtaining hidden information, and is widely used in economics, biomedicine and other disciplines. Data imbalance widely exists in real-world datasets. For example, when frau...
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Chapter and Conference Paper
CD-BNN: Causal Discovery with Bayesian Neural Network
Causal discovery involves learning Directed Acyclic Graphs (DAGs) from observational data and has widespread applications in various fields. Recent advancements in the structural equation model (SEM) have succ...
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Article
Clustering by differencing potential of data field
Hierarchical clustering with data field can find clusters with various shape and filter the noises in data set without input parameters. However, its clustering process is complex and cannot effectively deal w...
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Book and Conference Proceedings
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Book and Conference Proceedings
Geo-Spatial Knowledge and Intelligence
5th International Conference, GSKI 2017, Chiang Mai, Thailand, December 8-10, 2017, Revised Selected Papers, Part I
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Chapter and Conference Paper
Congestion Analysis Based on Remote Sensing Images
Most Congestion analysis are based on the urban traffic video surveillance, which depend on the quality of existing surveillance equipments. In this paper, we propose a novel method to perform congestion analy...
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Chapter and Conference Paper
An Exploratory Study and Application of Data Mining: Railway Alarm Data
The railway industry generates large data but there are few researches on railway data analysis. The paper presented an exploratory study and application of data mining from railway alarm data. The railway ala...
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Chapter and Conference Paper
From Complex Network to Skeleton: \( \varvec{m}_{\varvec{j}} \) -Modified Topology Potential for Node Importance Identification
Node importance identification is a crucial content in studying the substantial information and the inherent behaviors of complex network. On the basis of topological characteristics of nodes in complex networ...
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Article
Extraction and representation of common feature from uncertain facial expressions with cloud model
Human facial expressions are key ingredient to convert an individual’s innate emotion in communication. However, the variation of facial expressions affects the reliable identification of human emotions. In th...
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Book and Conference Proceedings
Geo-Spatial Knowledge and Intelligence
4th International Conference on Geo-Informatics in Resource Management and Sustainable Ecosystem, GRMSE 2016, Hong Kong, China, November 18-20, 2016, Revised Selected Papers, Part II
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Book and Conference Proceedings
Geo-Spatial Knowledge and Intelligence
4th International Conference on Geo-Informatics in Resource Management and Sustainable Ecosystem, GRMSE 2016, Hong Kong, China, November 18-20, 2016, Revised Selected Papers, Part I
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Chapter and Conference Paper
DAPPFC: Density-Based Affinity Propagation for Parameter Free Clustering
In the clustering algorithms, it is a bottleneck to identify clusters with arbitrarily. In this paper, a new method DAPPFC (density-based affinity propagation for parameter free clustering) is proposed. Firstl...
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Article
A cost-effective scheme supporting adaptive service migration in cloud data center
Cloud computing as an emerging technology promises to provide reliable and available services on demand. However, offering services for mobile requirements without dynamic and adaptive migration may hurt the p...
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Chapter and Conference Paper
Mining Standard Land Price with Tension Spline Function
Standard land price is an economical indicator for measuring land value. In this paper, we propose to use the tension spline interpolation function to mine standard land price. First, we extend the definition ...
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Chapter and Conference Paper
Attribute Uncertainty in GIS Data
Attribute uncertainty may support decision-making and measure the reliability of GIS analysis. This paper presents the attribute uncertainty in GIS data, with a complete perspective of concepts, sources, natur...
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Chapter and Conference Paper
A Try for Handling Uncertainties in Spatial Data Mining
Uncertainties pervade spatial data mining. This paper proposes a method of spatial data mining handling randomness and fuzziness simultaneously. First, the uncertainties in spatial data mining are presented vi...
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Chapter and Conference Paper
Rough Spatial Interpretation
Rough set is a new approach to uncertainties in spatial analysis. In this paper, we complete three works under the umbrella of rough space. First, a set of simplified rough symbols is extended on the basis of ...
