PROJECT TITLE :

Mining the Most Influential k-Location Set From Massive Trajectories - 2017

ABSTRACT:

Mining the foremost influential location set finds $k$ locations, traversed by the utmost number of distinctive trajectories, in an exceedingly given spatial region. These influential locations are valuable for resource allocation applications, like choosing charging stations for electric cars and suggesting locations for putting billboards. This drawback is NP-arduous and typically involves an interactive mining processes involving a user's input, e.g., changing the spatial region and $k$, or removing some locations that are not eligible for an application per the domain data. Efficiency is the most important concern in conducting this human-in-the-loop mining. To this finish, we propose a complete mining framework, that includes an optimal method for the sunshine setting (i.e., tiny region and $k$) and an approximate methodology for the heavy setting (i.e., giant region and $k$). The optimal method leverages vertex grouping and best-1st pruning techniques to expedite the mining method. The approximate method can give the performance guarantee by utilizing the greedy heuristic, and it is comprised of economical updating strategy, index partition and workload-based optimization techniques. We evaluate the potency and effectiveness of our methods primarily based on two taxi datasets from China, and one check-in dataset from New York.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


MTechProjects.com offering final year .Net Based Data Mining MTech Projects, Data Mining IEEE Projects, IEEE Data Mining Projects, Data Mining MS Projects, .Net Based Data Mining BTech Projects, Data Mining BE Projects, Data Mining
MTechProjects.com offering final year Data Mining MTech Projects, Data Mining IEEE Projects, IEEE Data Mining Projects, Data Mining MS Projects, Data Mining BTech Projects, Data Mining BE Projects, Data Mining ME Projects, Data
PROJECT TITLE :Application of data mining methods in diabetes prediction - 2018ABSTRACT:Knowledge science methods have the potential to profit other scientific fields by shedding new lightweight on common questions. One such task
PROJECT TITLE :Diggit: Automated Code Review via Software Repository Mining - 2018ABSTRACT:We present Diggit, a tool to automatically generate code review comments, providing style guidance on prospective changes, based on insights
PROJECT TITLE :Comments Mining With TF-IDF: The Inherent Bias and Its Removal - 2018ABSTRACT:Text mining have gained great momentum in recent years, with user-generated content changing into widely available. One key use is comment

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry