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Cartographic maps can only contain a certain amount of information. If the information density is too high, the map becomes hard to comprehend for a human viewer. A common solution for this problem is...
Ontology Development for Interoperability of Observation Data
Database Terminology Data Mining Global-Environmental-Databases Interoperability
2015/12/2
The Ontology registry system is developed to collect, manage and compare ontological information for integrating global observation data. Data sharing and data service such as support of metadata deig...
The Study of Integration of Digital City Planning Data Based on the Ontology
Ontology Digital Urban Planning Data Integration Multi-sources and Heterogeneous Data
2015/12/2
The problem of integration of multi-sources and heterogeneous data has been the hot spot in the domain of spatial information technology. This paper analyzed the advantages and feasibility of using on...
Cloud Model and Hierarchical Clustering based Spatial Data Mining Method and Application
Cloud Model Hierarchical Clustering Data Mining Weather Classification
2015/12/2
The paper proposed a method of weather classification based on cloud model and hierarchical clustering. Firstly, according to the weather sampling data from FY-2C images, cluster the brightness values...
Knowledge Discovery by Spatial Clustering Based on Self-Organizing Feature Map and a Composite Distance Measure
Self-Organizing Feature Map Spatial Clustering Knowledge Discovery Data Mining
2015/12/2
This paper proposes a spatial clustering model based on self-organizing feature map and a composite distance measure, and studies the knowledge discovery from spatial database of spatial objects with ...
A Novel Vector Field Data Mining Approach: Extraction of Front Based on Physical Features of Target
Vector Field Data Mining Physical Feature Front Extraction Fuzzy Clustering
2015/12/2
The explosive growing of earth observing data needs to have relative efficient data processing methods. This paper aims at the processing and analysis of large volume of vector field data acquiring fr...
Research on Change-of-Feature Based Spatio-Temopral Object Relational Model
Feature Feature Change Event State Orient-Relational Data Model Spatio-Temporal Data Model
2015/12/1
The spatio-temporal data is our cognition to external matter and the spatio-temporal data model is the fundamental basic to manage the spatio-temporal data. The spatio-temporal object is always changi...
Spatial and Dynamic Modelling Techniques for Land Use Change Dynamics Study
GIS Cellular Automata Land Use Change Land degradation Multi Criteria Decision Making
2015/12/1
This paper presents a prototype of a simulation model based on cellular automata (CA), and multi criteria evaluation, integrated with Geographic Information System (GIS). Multi criteria evaluation pro...
Deriving Spatio-Temporal Relations from Simple Data Structure
Data Structure Operation Query Object Spatial Temporal
2015/12/1
A spatiotemporal data model is incomplete without three components: classes, consistency constraints, and operators. Classes define the structure of the model, constraints enforce consistency in the m...
Dynamic Cartographic Representation of Spatio-Temporal Data
Spatio-temporal Database Spatio-temporal Change Pattern Dynamic symbol base
2015/12/1
As efforts grow to develop spatio-temporal database systems and temporal geographic information systems that are capable of conveying how geographic phenomena change, it is important to associate the ...
基于确定性抽样数据分组序列的位置、方向、分组长度和连续性、有序性等流统计特征和典型的分组长
度统计签名，并结合带数据分组位置、方向约束和半流关联动作的提升型DPI，提出了一种基于假设检验的加密
流量应用识别统计决策模型，包括分组长度统计签名决策模型和DFI 决策模型，并给出了相应的分组长度统计签
名匹配算法以及基于DPI 和DFI 混合方法的加密流量应用识别算法。实验结果表明，该方法能够成功...
基于确定-概率性文件拥有证明的机密数据安全去重方案
云存储 机密数据去重 数据拥有证明 Merkle 散列树 同态MAC
2015/12/21
为解决云存储系统中机密数据去重面临的密文重复性检测与拥有性证明、针对数据机密性的攻击等难题，
提出了基于Merkle 散列树的MHT-Dedup 方案和基于同态MAC 的hMAC-Dedup 方案。两者均通过对密文文件的
拥有证明进行跨用户文件级重复性检测，并通过检查数据块明文的摘要进行本地数据块级重复性检测，避免了跨
用户文件级客户端重复性检测中hash-as-a-proof 方法存在的安...
Successive pattern learning based on test feature classifier and its application to dynamic recognition problems
classifi cation test feature classifi er successive learning dynamic recognition problem
2015/8/25
Fundamental characteristics of successive lerarning by Test Feature Classifier(TFC), which is non-parametric and effective with small data, are examined. In the learning, a new set of training o...
当前大数据技术应用的阶段性特征及中国的应对思考
技术成熟度 国家战略 数据生态
2015/12/17
随着大数据技术在各行各业的应用范围不断扩大，应用水平不断提升，人们对大数据技术的热情与期望也随之飞速升温。与此同时，我们也应冷静看待大数据技术发展的阶段性。文章对目前大数据发展的周期性特征进行了分析，讨论了我国大数据发展当前阶段所面临的机遇和挑战，以及首先需要解决的关键问题，为如何促进我国大数据产业的健康长远发展提供了参考。
Hessian Eigenmaps: new locally linear embedding techniques for high-dimensional data
Manifold Learning Locally Linear Embedding
2015/8/21
We describe a method to recover the underlying parametrization of scattered data
(mi) lying on a manifold M embedded in high-dimensional Euclidean space. The method,
Hessian-based Locally Linear Emb...