Книга: Amanpreet Chauhan «Survey on data mining techniques in intrusion detection»
Производитель: "LAP Lambert Academic Publishing" Data mining is the extraction of the valuable data from the large amount of data. There are numerous number of algorithms available for data mining. Single algorithm is not capable of producing efficient results. There is a key term in data mining known as ensemble learning which means combining two or more classifiers for the better result. I have used the KDD`99 dataset for the experiment which have 41 features labeled either as normal or as attack. In this book I have represented how the graphical tool weka can be used for data mining and how ensemble learning can be implemented using weka. I have used three classifiers with the Bagging ensemble learning approach which are complementary naive bayes and two are rule based classifiers, part and jrip. My experiment shows that bagging improves the efficiency of the rule based classifiers as well as of naive bayes; however, the rule based classifiers become more efficient with bagging. ISBN:9783848480135 Издательство: "LAP Lambert Academic Publishing" (2012)
ISBN: 9783848480135 |
См. также в других словарях:
Data Analysis Techniques for Fraud Detection — Fraud is a million dollar business and it is increasing every year. The PwC global economic crime survey of 2009 suggests that close to 30% of companies worldwide reported fallen victim to fraud in the past year[1] Fraud involves one or more… … Wikipedia
Anomaly detection — Anomaly detection, also referred to as outlier detection[1] refers to detecting patterns in a given data set that do not conform to an established normal behavior.[2] The patterns thus detected are called anomalies and often translate to critical … Wikipedia
technology, history of — Introduction the development over time of systematic techniques for making and doing things. The term technology, a combination of the Greek technē, “art, craft,” with logos, “word, speech,” meant in Greece a discourse on the arts, both… … Universalium
Association rule learning — In data mining, association rule learning is a popular and well researched method for discovering interesting relations between variables in large databases. Piatetsky Shapiro[1] describes analyzing and presenting strong rules discovered in… … Wikipedia
Life Sciences — ▪ 2009 Introduction Zoology In 2008 several zoological studies provided new insights into how species life history traits (such as the timing of reproduction or the length of life of adult individuals) are derived in part as responses to… … Universalium
railroad — /rayl rohd /, n. 1. a permanent road laid with rails, commonly in one or more pairs of continuous lines forming a track or tracks, on which locomotives and cars are run for the transportation of passengers, freight, and mail. 2. an entire system… … Universalium