Project centers in Chennai

IEEE Final Year Project Topics for CSE

Base Paper Title

Frequent Pattern Mining on Time and Location Aware Air Quality Data

Our Title

IEEE Project Abstract

With the advent of big data era, enormous volumes of data are generated every second. Varied data processing algorithms and architectures have been proposed in the past to achieve better execution of data mining algorithms. One such algorithm is extracting most frequently occurring patterns from the transactional database. Dependency of transactions on time and location further makes frequent itemset mining task more complex. The present work targets to identify and extract the frequent patterns from such time and location aware transactional data. Primarily, spatio-temporal dependency of air quality data is leveraged to find out frequently co-occurring pollutants over several locations of Delhi, the capital city of India. Varied approaches have been proposed in the past to extract frequent patterns efficiently, but this work suggests a generalized approach that can be applied to any numeric spatio-temporal transactional data,including air quality data. Furthermore, a comprehensive description of the algorithm along with a sample running example on air quality dataset is shown in this work. A detailed experimental evaluation is carried out on the synthetically generated data sets, benchmark datasets and real world datasets. Furthermore, a comparison with Spatio-Temporal Apriori as well as the other state-of-the-art non-apriori based algorithm sis shown. Results suggests that the proposed algorithm outperformed the existing approaches in terms of execution time of algorithm and memory resources

Existing System

Drawback of Existing System

Proposed System

Advantage of Proposed System

Enhancement from Base Paper


Technology Used : Hardware & Software

Existing Algorithm

Proposed Algorithm

Advantages of Proposed Algorithm

Project Modules

Literature Survey


Future Work

To View the Base Paper Abstract Contents

Refer Your Friend
Refer Another Friend
Thanks for Referring Your Friend / Relation

Now it is Your Time to Shine.

Great careers Start Here.

We Guide you to Every Step

Success! You're Awesome

Thank you for filling out your information!

We’ve sent you an email with your Final Year Project PPT file download link at the email address you provided. Please enjoy, and let us know if there’s anything else we can help you with.

To know more details Call 900 31 31 555

The WISEN Team