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Data Mining 2.1.2 Download
Data Mining 2.1.2
Find the number of string occurrences within a large text.
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Last Week downloads: 0
Total downloads: 1,520
- Last Updated: Nov 10, 2009
- License: Freeware Free
- OS: Windows XP
- Requirements: No special requirements
- Publisher: Custom Solutions of Maryland (99 more Applications)
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For Data Mining 2.1.2Publisher's description
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Data Mining was developed to find the number of hits (string occurrences) within a large text. To use Data Mining, use the File>Open menu to load a Plain Text file or paste the plain text to be searched into the window, enter the strings (case-sensitive) into the fields (28 fields provided) and click on the "Start Mining" button. Hits will be shown to the left of each string. The contents of the 28 search fields are saved when you quit and reloaded when you Relaunch. To use the Ad Hoc search capability, type the search string (case-sensitive) into the Ad Hoc String field and click on the "Ad Hoc" button. The number of hits will appear above the "Ad Hoc" button. The Ad Hoc String is not saved between sessions. There is also a Find capability. Type the search string (case-insensitive) into the Find field and click on the "Find" button. The window will scroll to that row (just above the red line in the Middle of the window) and the search string will be highlighted. You can click on the "Find Next" button to step through all string occurrences. The total number of text characters is displayed. Click on the "Reset" button to clear the text window, Hits and the Ad Hoc and Find search strings. Click on the "Clear Hits" button to clear just the Hits. Data Mining is optimized for speed. A search of one million characters for 28 strings takes approximately one second. A Help window is available. This utility is freeware. you can free download Data Mining 2.1.2 now.
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For Data Mining 2.1.2
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Please be aware that Brothersoft do not supply any crack, patches, serial numbers or keygen for Data Mining,and please consult directly with program authors for any problem with Data Mining.