Our aim is to come up with a sound and concrete solution so that the gigantic volume of unsorted data could be fitted in to a virtual hierarchy to make extracting relevant data more feasible.
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Recently we did a research on selecting the best clustering alogorithm which optimize our requirements in the project. Currently we are preparing the system design documentation.
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Welcome to the  .txtKnot

Few words about our project background..

Living in a modern and technologically dependent world, we heavily rely on electronically stored data and information to come up with sound and timely decisions. In this context, data mining and retrieval processes hold a critical responsibility.Therefore even a slight improvement in their effectiveness could cause a revolution in the IT environment.

In any establishment, its success essentially depends on the decision making process followed. Reliable and accessible data would be the driving force of the aforementioned process. In the current scenario, although the data is available in an unimaginable volume, the scattered nature of relevant and non-relevant data hinders the data retrieval process.

In any establishment, its success essentially depends on the decision making process followed. Reliable and accessible data would be the driving force of the aforementioned process. In the current scenario, although the data is available in an unimaginable volume, the scattered nature of relevant and non-relevant data hinders the data retrieval process.

 

What is   .txtKnot

This is a project which basically focoused on building an text clustering based concept hirarchy which can be applied for different kind of text source. In other words our aim is to come up with a sound and concrete solution so that the gigantic volume of unsorted data could be fitted in to a virtual hierarchy to make extracting relevant data more feasible.

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