Downloads: 107 | Views: 265
M.Tech / M.E / PhD Thesis | Information Technology | India | Volume 3 Issue 7, July 2014 | Popularity: 7 / 10
Hybrid Approach for Outlier Detection in High Dimensional Dataset
Rohini Balkrishna Gurav, Sonali Rangdale
Abstract: An object that does not obey the behavior of normal data objects is called as Outlier. In many data analysis process, a large number of data are being recorded or sampled as data set. It is very important in data mining to find rare events, anomalies, exceptions etc. Outlier detection has important applications in many fields in which the data can contain high dimensions. Resulting the intended knowledge of outliers will become inefficient and even infeasible in high dimensional space. I devised an outlier detection structure which is based on clustering. Clustering is an unsupervised type of data mining and it does not require trained or labeled data. Combination of density based and partition clustering method for taking improvement of both densities based and distance based outlier detection. Weights are allocated to attributes depending upon their individual significance in mining task and weights are adaptive in nature. Weighted attributes are useful to reduce or remove the effect of noisy attributes. In view of the challenges of streaming data, the schemes are incremental and adaptive to concept development. In high dimensional data the number of attributes associated with the dataset is very large and it makes the dataset unmanageable. Thus a Feature Extraction technique is used to reduce the number of attributes to a manageable value.
Keywords: Attribute weighting, Dataset, DBSCAN, k-mean, unsupervised method
Edition: Volume 3 Issue 7, July 2014
Pages: 1743 - 1746
Make Sure to Disable the Pop-Up Blocker of Web Browser
Similar Articles
Downloads: 1 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Analysis Study Research Paper, Information Technology, United States of America, Volume 11 Issue 1, January 2022
Pages: 1647 - 1652Data Engineering Challenges in AI for Healthcare
Nithin Reddy Desani, Srujan Reddy Jabbi Reddy
Downloads: 1 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Analysis Study Research Paper, Information Technology, United States of America, Volume 10 Issue 11, November 2021
Pages: 1546 - 1554Scalable Distributed Training Algorithms for Machine Learning Models: A Code - Centric Approach
Nithin Reddy Desani
Downloads: 2 | Weekly Hits: ⮙1 | Monthly Hits: ⮙2
New Innovation and Idea, Information Technology, India, Volume 12 Issue 5, May 2023
Pages: 1078 - 1084Tomato Plant Diseases Detection and Classification
Sameh Mohammed Abdo Khaled
Downloads: 2 | Weekly Hits: ⮙2 | Monthly Hits: ⮙2
Research Paper, Information Technology, India, Volume 11 Issue 6, June 2022
Pages: 1959 - 1968Enhancing Cloud-Based Smart Contract Security: A Hybrid AI and Optimization Approach for Vulnerability Prediction in FinTech
Ranadeep Reddy Palle, Haritha Yennapusa, Krishna Chaitanya Rao Kathala
Downloads: 3 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Informative Article, Information Technology, India, Volume 11 Issue 4, April 2022
Pages: 1380 - 1383Energy Efficiency Analysis in Residential Buildings using Machine Learning Techniques
Vibhu Sharma