Data mining on architecture simulation

Download

index.pdf

Date

2010

Author

Maden, Engin

Metadata

Show full item record

Item Usage Stats

180
views

66
downloads

Data mining is the process of extracting patterns from huge data. One of the branches in data mining is mining sequence data and here the data can be viewed as a sequence of events and each event has an associated time of occurrence. Sequence data is modelled using episodes and events are included in episodes. The aim of this thesis work is analysing architecture simulation output data by applying episode mining techniques, showing the previously known relationships between the events in architecture and providing an environment to predict the performance of a program in an architecture before executing the codes. One of the most important points here is the application area of episode mining techniques. Architecture simulation data is a new domain to apply these techniques and by using the results of these techniques making predictions about the performance of programs in an architecture before execution can be considered as a new approach. For this purpose, by implementing three episode mining techniques which are WINEPI approach, non-overlapping occurrence based approach and MINEPI approach a data mining tool has been developed. This tool has three main components. These are data pre-processor, episode miner and output analyser.

Subject Keywords

Computer enginnering.

URI

http://etd.lib.metu.edu.tr/upload/2/12611635/index.pdf
https://hdl.handle.net/11511/19371

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

Fuzzy association rule mining from spatio-temporal data: an analysis of meteorological data in turkey Ünal Çalargün, Seda; Yazıcı, Adnan; Department of Computer Engineering (2008) Data mining is the extraction of interesting non-trivial, implicit, previously unknown and potentially useful information or patterns from data in large databases. Association rule mining is a data mining method that seeks to discover associations among transactions encoded within a database. Data mining on spatio-temporal data takes into consideration the dynamics of spatially extended systems for which large amounts of spatial data exist, given that all real world spatial data exists in some temporal cont...
Efficient index structures for video databases Açar, Esra; Yazıcı, Adnan; Department of Computer Engineering (2008) Content-based retrieval of multimedia data has been still an active research area. The efficient retrieval of video data is proven a difficult task for content-based video retrieval systems. In this thesis study, a Content-Based Video Retrieval (CBVR) system that adapts two different index structures, namely Slim-Tree and BitMatrix, for efficiently retrieving videos based on low-level features such as color, texture, shape and motion is presented. The system represents low-level features of video data with ...
Analysis of Turkey’s visibility on global internet Oralalp, Sertaç; Özgit, Attila; Department of Computer Engineering (2010) In this study, Turkey’s Internet visibility will be analyzed based on data to be collected from multiple different resources (such as; Google, Yahoo, Altavista, Bing and AOL). Analysis work will involve inspection of DNS queries, Web crawling and some other similar techniques. Our goal is to investigate global Internet and find webs that has common pattern of representing Internet visibility of Turkey and compare their characteristics with other webs' on the world and discover their similarities and differe...
Parallel closet+ algorithm for finding frequent closed itemsets Şen, Tayfun; Toroslu, İsmail Hakkı; Department of Computer Engineering (2009) Data mining is proving itself to be a very important fi eld as the data available is increasing exponentially, thanks to first computerization and now internetization. On the other hand, cluster computing systems made up of commodity hardware are becoming widespread, along with the multicore processor architectures. This high computing power is synthesized with data mining to process huge amounts of data and to reach information and knowledge. Frequent itemset mining is a special subtopic of data mining be...
Using semantic web services for data integration in banking domain Okat, Çağlar; Doğru, Ali Hikmet; Department of Computer Engineering (2010) A semantic model oriented transformation mechanism is developed for the centralization of intra-enterprise data integration. Such a mechanism is especially crucial in the banking domain which is selected in this study. A new domain ontology is constructed to provide basis for annotations. A bottom-up approach is preferred for semantic annotations to utilize existing web service definitions. Transformations between syntactic web service XML responses and semantic model concepts are defined in transformation ...

Citation Formats

E. Maden, “Data mining on architecture simulation,” M.S. - Master of Science, Middle East Technical University, 2010.