Abstract
This paper will evaluate data mining tools for competitive intelligence and technology. Data analyzers i.e. Thomson and OmniViz are the tools for completing diversified and sophisticated mathematical analyses of data. AnaVist and Aureka are considerable for modest visualization of statistics and itoplistsi is used for creating maps that are stylish. Novel features of OmniViz during the comparison of other tested tools are used for visualizing clustered data from difference viewpoints, which makes it possible to assess the attributes using patent map animation. The Thomson data analyzer provides effective tools that compare various subsets for data, such as the identification of unique attribute values. In citation assessments, Aureka is used as well as in illustrative patent maps. AnaVist is the best in retrieving basis statistics smoothly and quickly. The findings from four tools were similar, despite the fact that various databases for data retrieving were utilized. Superior investors and assignees list were the same, since they were an annual trend for geographical and technological business segments. Nonetheless, the conclusions from the findings were that business decisions are made using their tools to enhance competitive intelligence.
Highlights
About 75% of technical and scientific data can be location in patent documents alone as the research done by the Patent Office of Europe
This paper evaluate, four tools for evaluating patent documents have been analyzed and tested
AnaVist and Aureka were seen to be easier to utilize and their evaluation can be considered in preliminary data analysis activities
Summary
About 75% of technical and scientific data can be location in patent documents alone as the research done by the Patent Office of Europe. Patents provide a unique source of data since they can be published, screened and collected based on globally acknowledged standards. Novel remedies are still being recommended into the market, and include the tools for assessing individual tools, reading patent data and evaluating a collection of patent documents. Remedies for evaluating a collection of patent documents can be classified into two: Tools meant to retrieve and prepare basic statistical data for patent documents; and the Tools meant to visualize and progressively evaluate patents. The former handles data in a structured manner, whereby the latter evaluates unstructured information
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