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IEEE Symposium on Computational Intelligence and Data Mining (CIDM), April 2007 Incremental Local Outlier Detection for Data Streams Dragoljub Pokrajac CIS Dept. and AMRC Delaware State University.

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The Local Outlier Factor (LOF) algorithm is an unsupervised anomaly detection method which computes the local density deviation of a given data point with respect to its neighbors. It considers as outliers the samples that have a substantially lower density than their neighbors.

Local Outlier Factor Calculation The LOF of a point p is the sum of the LRD of all the points in the set kNearestSet(p) * the sum of the reachDistance of all the points of the same set, to the point p , all divided by the number of items in the set, kNearestSetCount(p) , squared.

Local outlier factor (LOF) values identify an outlier based on the local neighborhood. It gives better results than the global approach to find outliers. Since there is no threshold value of LOF, the selection of a point as an outlier is user-dependent.

LOF allows to define outliers by doing density-based scoring. It is similar to the KNN (nearest neighbor search) algorithm. The difference is that we're trying to find observations that are close together in KNN, but we're trying to find observations that are not alike in LOF.

Distance-based outlier detection method consults the neighbourhood of an object, which is defined by a given radius. An object is then considered an outlier if its neighborhood does not have enough other points.

The KNN algorithm is used to fill and correct the outliers, and the data type of the outliers is identified. The correlation between the outliers and the surrounding data is considered. The LOF algorithm can quantify the abnormal situation of the data, and the local correlation of the transformer data is considered.

List of Machine Learning algorithms which are sensitive to outliers: Linear Regression. Logistic Regression. Support Vector Machine. K- Nearest Neighbors. K-Means Clustering. Hierarchical Clustering. Principal Component Analysis.

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Form Packages
Adoption
Bankruptcy
Contractors
Divorce
Home Sales
Employment
Identity Theft
Incorporation
Landlord Tenant
Living Trust
Name Change
Personal Planning
Small Business
Wills & Estates
Packages A-Z
Form Categories
Affidavits
Bankruptcy
Bill of Sale
Corporate - LLC
Divorce
Employment
Identity Theft
Internet Technology
Landlord Tenant
Living Wills
Name Change
Power of Attorney
Real Estate
Small Estates
Wills
All Forms
Forms A-Z
Form Library
Customer Service
Terms of Service
DMCA Policy
About Us
Blog
Affiliates
Contact Us
Privacy Notice
Delete My Account
Site Map
All Forms
Search all Forms
Industries
Forms in Spanish
Localized Forms
Legal Guides
Real Estate Handbook
All Guides
Prepared for You
Notarize
Incorporation services
Our Customers
For Consumers
For Small Business
For Attorneys
Our Sites
US Legal Forms
USLegal
FormsPass
pdfFiller
signNow
airSlate workflows
DocHub
Instapage
Social Media
Call us now toll free:
1-877-389-0141
As seen in:
  • USA Today logo picture
  • CBC News logo picture
  • LA Times logo picture
  • The Washington Post logo picture
  • AP logo picture
  • Forbes logo picture
© Copyright 1997-2025
airSlate Legal Forms, Inc.
3720 Flowood Dr, Flowood, Mississippi 39232