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In recent years, the deep web has become extremely popular. Like any other data source, data mining on the deep web can produce important insights or summaries of results. However, data mining on the deep web is challenging because the databases cannot be accessed directly, and therefore, data mining must be performed by sampling the datasets. The samples, in turn, can only be obtained by querying...
In recent years, one mode of data dissemination has become extremely popular, which is the deep web. Like any other data source, data mining on the deep web can produce important insights or summary of results. However, data mining on the deep web is challenging because the databases cannot be accessed directly, and therefore, data mining must be performed based on sampling of the datasets. The samples,...
The growing use of Internet in everyday life has been creating new challenges and opportunities to use data mining techniques. A relatively new trend in the Internet is the deep web. As a large number of deep web data sources tend to provide similar data, an important problem is to perform offline analysis to understand the differences in data available from different sources. This paper introduces...
Nowadays, a large part of the online biological data resides in the deep web. Lately, there have been several efforts focusing on integrating and providing search functionality for biological deep web data sources. Such systems often require data access involving a large number of remote data sources and the use of various communication links. Both the servers and networking links are vulnerable to...
We presents data mining-based techniques for enabling data integration across deep web data sources. We target query processing across inter-dependent data sources. Thus, besides input-input and output-output matching of attributes, we also need to consider input-output matching. We develop data mining techniques for discovering the instances for querying deep web data sources from the information...
Increasingly, many data sources appear as online databases, hidden behind query forms, thus forming the deep Web. The popularity of this new medium for data dissemination is leading to new problems in data integration. Particularly, to enable data integration from multiple deep Web data sources, one needs to obtain the metadata for each of the data sources. Obtaining the metadata, particularly, the...
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