Enhancements for Sliding Window based Stream Classification

Date

2019-09-19

Author

Maden, Engin
Karagöz, Pınar

Metadata

Show full item record

Item Usage Stats

126
views

0
downloads

In stream mining, there are several limitations on the classification process, since the time and resource are limited. The data is read only once and the whole history of data can not be stored. There are several methods developed so far such as stream based adaptations of decision trees, nearest-neighbor methods and neural network classifiers. This paper presents new enhancements on sliding window based classification methods. As the first modification, we use the traditional kNN (K-Nearest Neighbors) method in a sliding window and include the mean of the previous instances as a nearest neighbor instance. By this, we aim to associate the behaviour pattern coming from the past and current state of data. We call this method as m-kNN (Mean extended kNN). As the second enhancement, we generate an ensemble classifier as the combination of our m-kNN with traditional kNN and Naive Bayes classifier. We call this method CSWB (Combined Sliding Window Based) classifier. We present the accuracy of our methods on several datasets in comparison to the results against the state-of-the-art classifiers MC-NN (Micro Cluster Nearest Neighbor) and VHT (Vertical Hoeffding Tree). The results reveal that the proposed method performs better for several data sets and have potential for further improvement.

Subject Keywords

Streaming data, Stream mining, Classification, Naive bayes, Sliding window.

URI

https://hdl.handle.net/11511/76841

Collections

Department of Computer Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Comparative life cycle cost analysis of centrifugal and positive displacement pumps for mine dewatering Aktaş, Ali Burak; Demirel, Nuray; Department of Mining Engineering (2015) In mining activities, there is water flow to mining environment which must be removed by mine dewatering method to provide suitable working conditions. One of the ways of mine dewatering is conducted via pumps there mainly two types of pumps are being used in mine dewatering operations, centrifugal and positive displacement pumps. Centrifugal pumps utilize the submersible as feeder to horizontal pumps in main stations for further pumping to ponds or collection dams at surface, while positive displacement pu...
Review of Trend Tests for Detection of Wear Out Period for Mining Machineries Gölbaşı, Onur; Demirel, Nuray (2015-04-17) Machinery systems are extensively utilized in all mining stages from beginning to end of ore production. They are capital-intensive systems and substantial amount of money is spent annually to keep their functionalities in desired levels. Therefore, implementation of effective maintenance strategy has a vital importance to prevent unexpected breakdowns due to failures and to minimize operational cost. These maintenance strategies can be constituted effectively regarding functional and structural dependencie...
Optimal Packet Scheduling on an Energy Harvesting Broadcast Link Antepli, Mehmet Akif; Uysal, Elif; Erkal, Hakan (2011-09-01) The minimization of transmission completion time for a given number of bits per user in an energy harvesting communication system, where energy harvesting instants are known in an offline manner is considered. An achievable rate region with structural properties satisfied by the 2-user AWGN Broadcast Channel capacity region is assumed. It is shown that even though all data are available at the beginning, a non-negative amount of energy from each energy harvest is deferred for later use such that the transmi...
Assessment of uncertainties in bed load rate and water surface profile computations Genç, Gizem; Yanmaz, Ali Melih; Department of Civil Engineering (2023-1-12) Many processes in water resources engineering are disposed to uncertainty due to the inherent variation of many inputs and parameters in time and place. This study mainly consists of two parts. In the first part, probabilistic variations of bed load rates are examined using Meyer-Peter Müller and Einstein-Brown approaches under the effect of different bed slopes, bed materials, and flow rates in the Miliç Basin. The results of the first part offer an insight into the probabilistic nature of bed resistance. ...
Stability investigation of Eti Copper Mine tailings dam using finite element analysis Tanrıseven, Esra Nur; Bilgin, Hasan Aydın; Department of Mining Engineering (2012) In mining industry, waste storage is a very prominent issue; in this respect, safety of storage structures is one of the leading problems in the industry. Most of the tailings dams require remedial measures, throughout their lifespan to increase their reliability. The objective of the study is to investigate stability problems of formerly constructed but newly raised Eti Copper Mine tailings dam and alternative dam geometries for future raises. Plenty of methods were developed to analyze the reliability of ...

Citation Formats

E. Maden and P. Karagöz, “Enhancements for Sliding Window based Stream Classification,” 2019, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/76841.