Team Work

Exploratory Visual Sequence Mining Based On Pattern-Growth

ABSTRACT:

Continuous Enforcement Mines have found applications in a number of different fields. Due to the unconscious nature of the problem, both the main challenges arise. Firstly, there are a number of formats that are already in the existing algorithms, which are useless for the benefit of many users Perspective. Secondly, since databases are growing, they are available at the mining computational cost of large scale formats. So, there’s a need mining approaches that can focus on search towards the direction of interest. This work copes with this problem Interactive visualization with continuous mines with a mine in order to create a “transparent box” functional model. We propose a Novel Approach for Interactive Display Row Mines, which allows the user to guide a system-development algorithm Suitable by a powerful visual interface. Our approach (1) introduces the possibility of using local barriers mining process; (2) methods allow visualization to be cut, and (3) the mining product algorithm towards the direction of interest. The use of local controls significantly improves users’ ability to search advanced search no need to restart calculations. We present our approach using two event line data; one that covers the web page visits and other scenes of individuals.

SYSTEM REQUIREMENTS
SOFTWARE REQUIREMENTS:
• Programming Language : Python
• Font End Technologies : TKInter/Web(HTML,CSS,JS)
• IDE : Jupyter/Spyder/VS Code
• Operating System : Windows 08/10

HARDWARE REQUIREMENTS:

 Processor : Core I3
 RAM Capacity : 2 GB
 Hard Disk : 250 GB
 Monitor : 15″ Color
 Mouse : 2 or 3 Button Mouse
 Key Board : Windows 08/10

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