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With the high development of Internet, e-commerce websites now routinely have to work with log datasets which are up to a few terabytes in size. How to remove messy data timely with low cost and find out useful information is a problem we have to face. The mining process involves several steps from pre-processing the raw data to establishing the final models. In this paper we describe our method to...
Most previous approaches to automatic audio events (AEs) annotation are based on supervised learning which relies on the availability of a labeled corpus to train classification models. However, instance annotation is often difficult, expensive, and time consuming. In this paper, we apply semi-supervised learning with transductive Support Vector Machine (TSVM) algorithm to automatic AEs annotation...
As a new modeling thought, the accurate analytical redundancy model of power plant critical parameters was established by data mining method, which obtained effective information from the large number of real-time operation data. The basic modeling mode, including data preprocessing, mining model, verification model and the strategy from data to analytical redundancy model, was proposed in the paper...
As a new modeling thought, the accurate soft sensing model of power plant parameter was established by data mining method, which obtained effective information from the large number of real-time operation data and avoided low accuracy of conventional modeling method caused by some assumption. A kind of basic modeling mode, including data preprocessing, mining model, verification model and the strategy...
Sorts of models in current geological hazard information management system and digital disaster reduction system (DDRS) in China still lack of enough basic data support. One key problem is how to realize integration and share of complex geological hazard heterogenous spatial information. Isomerous geological hazard data have four types: structural isomer, syntax isomer, system isomer and semantic...
This paper introduces the basic theories of multi-agent system and the communication manner between various agents. Furthermore, a knowledge management system model about distributed data mining system based on multi-agent system is brought forward for the system distributed geographically and logically, in which the problem how to mining a large amount of distributed data can be solved. And the implementation...
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