Analysis of Turkey’s visibility on global internet

Download
2010
Oralalp, Sertaç
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 differences.

Suggestions

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 ...
Data mining on architecture simulation
Maden, Engin; Karagöz, Pınar; Department of Computer Engineering (2010)
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 pr...
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...
Improvement of corpus-based semantic word similarity using vector space model
Esin, Yunus Emre; Alpaslan, Ferda Nur; Department of Computer Engineering (2009)
This study presents a new approach for finding semantically similar words from corpora using window based context methods. Previous studies mainly concentrate on either finding new combination of distance-weight measurement methods or proposing new context methods. The main di fference of this new approach is that this study reprocesses the outputs of the existing methods to update the representation of related word vectors used for measuring semantic distance between words, to improve the results further. ...
Crossing: a framework to develop knowledge-based recommenders in cross domains
Azak, Mustafa; Birtürk, Ayşe Nur; Department of Computer Engineering (2010)
Over the last decade, excess amount of information is being provided on the web and information filtering systems such as recommender systems have become one of the most important technologies to overcome the „Information Overload‟ problem by providing personalized services to users. Several researches have been made to improve quality of recommendations and provide maximum user satisfaction within a single domain based on the domain specific knowledge. However, the current infrastructures of the recommende...
Citation Formats
S. Oralalp, “Analysis of Turkey’s visibility on global internet,” M.S. - Master of Science, Middle East Technical University, 2010.