Outlier Detection Using A New Hybrid Approach On Mixed Dataset
Outlier Detection Using A New Hybrid Approach On Mixed Dataset
(Sprache: Englisch)
Data mining is a process of extracting hidden and useful information from the data. Outlier detection is a fundamental part of data mining and has huge attention from the research community recently. An outlier is data object that deviates from other...
Leider schon ausverkauft
versandkostenfrei
Buch
39.90 €
Produktdetails
Produktinformationen zu „Outlier Detection Using A New Hybrid Approach On Mixed Dataset “
Klappentext zu „Outlier Detection Using A New Hybrid Approach On Mixed Dataset “
Data mining is a process of extracting hidden and useful information from the data. Outlier detection is a fundamental part of data mining and has huge attention from the research community recently. An outlier is data object that deviates from other observations. Detecting outliers has important applications in data cleaning as well as in the mining of abnormal points for fraud detection, stock market analysis, intrusion detection, marketing, network sensors. Most of the existing research efforts focus on numerical datasets which are not directly applicable on categorical dataset where there is little sense in ordering the data and calculating distances among data points. Furthermore, a number of the current outlier detection methods require quadratic time with respect to the dataset size and usually need multiple scans of the data; these features are undesirable when the datasets are large. This thesis focuses and evaluates, experimentally, an outlier detection approach that isgeared towards categorical sets. In addition, this is a simple, scalable and efficient outlier detection algorithm that has the advantage of discovering outliers in categorical or numerical datasets by per
Autoren-Porträt von Navneet Kaur
Kaur, NavneetFirst of all, I am thankful to God for his blessings and showing me the right direction. With his mercy, it has been made possible for me to reach so far.I AM AN ASSISTANT PROFESSOR AT SHRI GURU TEG BAHADUR KHALSA COLLEGE FOR GIRLS AAKAR.
Bibliographische Angaben
- Autor: Navneet Kaur
- 2021, 64 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 6202553553
- ISBN-13: 9786202553551
Sprache:
Englisch
Kommentar zu "Outlier Detection Using A New Hybrid Approach On Mixed Dataset"
0 Gebrauchte Artikel zu „Outlier Detection Using A New Hybrid Approach On Mixed Dataset“
Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
---|
Schreiben Sie einen Kommentar zu "Outlier Detection Using A New Hybrid Approach On Mixed Dataset".
Kommentar verfassen