Journal ArticleDOI
Using Data Mining Techniques to Discover Patterns in an Airline's Flight Hours Assignments
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This article is published in International Journal of Data Warehousing and Mining.The article was published on 2017-04-01. It has received 6 citations till now.read more
Citations
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Journal ArticleDOI
Improved LS-SVM Method for Flight Data Fitting of Civil Aircraft Flying at High Plateau
TL;DR: The fitting results show that the improved least squares support vector machines machine learning model can fit and supplement the missing QAR data in the plateau area through historical flight data to effectively meet application needs.
Journal ArticleDOI
Correction and Fitting Civil Aviation Flight Data EGT Based on RPM: Polynomial Least Squares Analysis
TL;DR: Case study results confirm the optimal model order is four for the fitting and correction of aircraft engine exhaust temperature, and the least squares polynomial method is applicable and effective for EGT flight data correction and fitting based on RPM data.
Journal Article
Cómo usan Internetlas líneas aéreas paradesarrollar relacionesestables con los clientes
TL;DR: The desarrollo de Internet ha puesto a disposicion de las organizaciones una nueva y atractiva via for comercializar their productos as mentioned in this paper.
Book ChapterDOI
Parallel Association Rules Pruning Algorithm on Hadoop MapReduce
TL;DR: A Hadoop MapReduce-based parallel association rule pruning algorithm, named PPrune, is proposed, which is shown to be efficient and has good speedup, scaleup, and sizeup.
Book ChapterDOI
Some Aspects of Reliability Estimation of Loosely Coupled Web Services in Clustered Load Balancing Web Server
Abhijit Bora,Tulshi Bezboruah +1 more
TL;DR: This chapter shows some aspects of service execution while observing their failure records against massive execution of server-side instruction and a novel reliability estimation framework is proposed that can be deployed for evaluating the reliability ofservice execution over clustered load balancing web server.
References
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Book
Data Mining: Concepts and Techniques
TL;DR: This book presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects, and provides a comprehensive, practical look at the concepts and techniques you need to get the most out of real business data.
Book
Data Mining: Practical Machine Learning Tools and Techniques
TL;DR: This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining.
Book
Finding Groups in Data: An Introduction to Cluster Analysis
TL;DR: An electrical signal transmission system, applicable to the transmission of signals from trackside hot box detector equipment for railroad locomotives and rolling stock, wherein a basic pulse train is transmitted whereof the pulses are of a selected first amplitude and represent a train axle count.
BookDOI
Finding Groups in Data
TL;DR: In this article, an electrical signal transmission system for railway locomotives and rolling stock is proposed, where a basic pulse train is transmitted whereof the pulses are of a selected first amplitude and represent a train axle count, and a spike pulse of greater selected amplitude is transmitted, occurring immediately after the axle count pulse to which it relates, whenever an overheated axle box is detected.