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上海财经大学信息管理与工程学院数据挖掘课件 Data Mining with R(Codes)。
The explosive growth of spatial data and widespread use of spatial databases emphasize the need for the spatial data mining. Co-location patterns discovery is an important branch in spatial data minin...
Welcome to the official website of the 2017 International Conference on Information System and Data Mining (ICISDM2017). The conference will take place at the College of Charleston, South Carolina, US...
Despite the success of large knowledge bases, one kind of knowl-edge that has not received attention so far is that of human activi-ties. An example of such an activity is proposing to someone (to get...
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...
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...
For the Global Positioning System (GPS), signal-in-space(SIS) performance is key to the positioning accuracy and the integrity. In practice, SIS anomalies occasionally happens and the consequent user ...
With the continuous growth of health information on the Internet, providing user-orientated health service online has become a great challenge to health providers. Understanding the information needs ...
Spatial information technologies and data can be used effectively to investigate and monitor natural disasters contiguously and to support policy- and decision-making for hazard prevention, mitigation...
Communication, information, opinions, and even feelings are shared, stored and encoded by humans and by their institutions in natural language (as opposed to the artificial, programming or structured ...
This paper introduces a Self-Similarity Matrix (SSM) based video copy detection scheme and a Visual Character-String (VCS) descriptor for SSM matching. SSM, which exploits the spatial and temporal in...
The assumption on the mass error distribution of fragment ions plays a crucial role in peptide identification by tandem mass spectra. Previous mass error models are the simplistic uniform or normal ...

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