Spring

Cerberus is the robot soccer team of Boğaziçi University which competes in RoboCup Standard Platform League since 2001. My task for the graduation project was to develop a software for the goalkeeper which keeps it at an optimum place on the field according to the positions of the ball and other players.

Twitter is one of the most common platforms that people share their ideas about any topic. Also, Twitter provides huge database for researchers and analysts and also for companies. However, this infinite data crates some difficulties. The most important difficulty is that there is huge amount of text data, therefore you need to analyze the results and develop methods for the evaluation. This disadvantage contributes to make long time for analyzing data.

Twitter is one of the most popular social network and microblogging tools worldwide.It is free to use and has over 300 million users totally, and estimated turkish users are over 10 million.Users can send and read messages with limit of 140 characters.These messages are called “tweets”.Tweets can be retweeted by other users or can be saved through using “Like” button.Tweets appear on user’s profile page.On Twitter and many other social microblogging applications, contents may include hashtags to group and categorize them.However hashtags can consist of a word or a combination of words.In th

We worked with different algorithms: C4.5, Linear Support Vector Machines, Multilayer Perceptron and most importantly Soft Decision Trees and Budding Trees. Last two were proposed by our Advisor Prof. Ethem Alpaydın and his former student Ozan İrsoy. We implemented all of them and tested on different large data sets to see the potential of those trees. We tried to understand the learning process through different methods. Our aim was to spot weak points of those algorithms and propose new models based on those. We list many results and visuals on large data sets.

Clinical data is growing repeatedly with its characteristics such as sparseness, high dimensionality and changing set of attributes. Thanks to the surveys hold by Search Health IT, we know that medical center administrators spend more money for health care analytic tools in every year and they will keep spending. They want to analyze the data with better performance. We aimed to illuminate them by comparing the row store databases and column store databases. Also we showed that how the performance would be if there is a hybrid structure.