StreamMARS: A Streaming Multivariate Adaptive Regression Splines Algorithm

Date

2019-12-14

Author

Batmaz, İnci

Metadata

Show full item record

Item Usage Stats

66
views

0
downloads

Computers and internet have become inevitable parts of our life in the 1990s, and afterwards, bulk of data are started being recorded in digital platforms automatically. To extract meaningful patterns from such data computational methods are developed in data mining and machine learning domains. Multivariate adaptive regression splines (MARS) is one such method successfully applied to off-line static data for prediction. In about last ten years, we face with the big data problem due to the steady increase in the size of the data. Streaming data is a kind of big data collected from sensor networks, production processes, twitter messages etc. Algorithms processing this type of data should consider both memory and time limitations as well as its changing nature with time. We develop a streaming version of a powerful predictive method MARS for estimating model parameters on-line in a temporarily adaptive manner using forgetting factors. Performance of the algorithm developed is tested on simulated data with different dimensions in static, abrupt and smoothly changing environments; as well as on real-life datasets, and also, compared with those of some benchmarking methods such as sliding windows. Results show that StreamMARS is a promising algorithm for predicting streaming big data.

URI

https://hdl.handle.net/11511/72160
http://www.cmstatistics.org/RegistrationsV2/CFE2019/viewSubmission.php?in=361&token=630norqsrrr6190q2775p452ro88938n
http://www.cmstatistics.org/CMStatistics2019/fullprogramme.php
http://www.cfenetwork.org/CFE2019/docs/BoACFECMStatistics2019.pdf?20191121220051

Conference Name

The 13th International Conference on Computational and Financial Econometrics (CFE 2019) (14-16 December 2019)

Collections

Department of Statistics, Conference / Seminar

Suggestions

OpenMETU
Core

Opportunities and barriers of architect led design build projects Deniz, Ayça; Elias Özkan, Soofia Tahira; Department of Building Science in Architecture (2012) From past to today, technological developments have resulted in new systems in parallel with digital age. Innovations have been started to be replaced with the traditional solutions. Standardizations have also started to be renewed in accordance with the high technology and complexity of the projects. Under these circumstances, design and construction activities have been separated in the construction industry. As a result, alternative project delivery systems have been developed and selecting the right del...
Workplace cysberslacking: an investigation based on the theory of planned behavior Koç, Yasemin Doğa; Toker, Yonca; The Department of Psychology (2020) The use of computers and mobiles at workspaces has increased dramatically in the last decade. Employees’ access to the Internet is inevitable and mostly required within working hours. Cyberslacking is a phenomenon that describes the non-work-related behavior conducted in the workplace by using the Internet. The effects of Cyberslacking behaviors in the workplace are still controversial. Literature suggests that Cyberslacking can be a facilitator of both positive and negative workplace behaviors. Thus, it is...
Template based image watermarking in the fractional fourier domain Gökozan, Tolga; Akar, Gözde; Department of Electrical and Electronics Engineering (2005) One of the main features of digital technology is that the digital media can be duplicated and reproduced easily. However, this allows unauthorized and illegal use of information, i.e. data piracy. To protect digital media against illegal attempts a signal, called watermark, is embedded into the multimedia data in a robust and invisible manner. A watermark is a short sequence of information, which contains owner2s identity. It is used for evidence of ownership and copyright purposes. In this thesis, we use ...
Sentiment analysis with recurrent neural networks on turkish reviews domain Rysbek, Darkhan; Uğur, Ömür; Department of Scientific Computing (2019) Easier access to computers, mobile devices, and availability of the Internet have given people the opportunity to use social media more frequently and with more convenience. Social media comes in many forms, including blogs, forums, business networks, review sites, and social networks. Therefore, social media generates massive sources of information in the shape of users‘ views, opinions, and arguments about various products, services, social events, and politics. By well-structuring and analysing this kind...
Statistical inference based load balanced routing in software defined networks Kaya, Semih; Koçyiğit, Altan; Department of Information Systems (2020-10-14) Networks have been the main method of transferring data for more than forty years. The traffic volumes and sizes of networks have increased considerably in the last two decades. The traditional methods used in the networks to transfer data become inefficient due to this growth. Therefore, network planning and smart delivery methods have gained importance. Accordingly, traffic engineering methods are deployed to meet the faster and more efficient delivery requirements. These methods have been proven ben...

Citation Formats

İ. Batmaz, “StreamMARS: A Streaming Multivariate Adaptive Regression Splines Algorithm,” London, UK, 2019, p. 71, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/72160.