Association rules mining is one of the the most relevant techniques of data mining. It has been also applied in the domain of text mining, but the results are hard to interpret. In this matter, an Association Network is an structure to represent as a graph the relationships mined as association rules. The goal of this project was to provide a methodology to build association networks from concepts extracted from a collection of documents, as well as the study of the mathematical properties of the association networks to prove that they are not random graphs and that they exhibit small-world properties.

Open-Source software has become increasingly more common in IT-organisations. Despite this the focus of studies on open-source has largely been focused on large system software. In our thesis we have worked on a software development project in Shimla, India, to create a hospital management system for the district hospitals in the state of Himachal Pradesh. Through our studies we have looked at the challenges of developing and implementing an open-source IS system in low-resource environment. Our results show that such an undertaking can be successful, but that distributed development poses a lot of challenges, and that the use of open-source software, while free, still necessitates a lot of work and close communication with the community.

Smartphones are rapidly evolving, making them powerful devices with many features. Location awareness is one of the hot topics, aiding applications to provide better services to users. A challenge is to combine the large amount of tourist information with the limited display sizes of smartphones. Also, tourists spend a lot of time nding information with little knowledge of their probable enjoyment of these tourist relevant locations. Recommender systems attempt to solve this by using information about users and points of interest. We will investigate several studies that discuss tourist applications.This project presents the Mobile Tourist Service Recommender which is a personalized tourist application introduced by [Wium, 2010]. We have further developed this system, performed thorough usability testing, applied the Mobile Services Acceptance Model, and analyzed the results.The results indicate that the system has potential and is encouraged by the positive feedback from many users. Users especially found the system to be benecial to them as tourists, and that they could use the system during vacations. Unfortunately, the achieved responses were not completely satisfactory to our goals, but further iterations with the suggested improvements implemented will raise the user experience.

In this thesis, I present an approach to a case-based reasoning system with explanation capabilities in the Warhammer Fantasy Battle domain. This product is meant to support Warhammer gamers in their initial army lineup, by providing suggestions based on previously successful games against an opposing horde. Explanations will be used in order to convey the reasoning behind the solution, to present the data the solution is based upon and why certain changes were made.The created product is capable of creating the army lineup and give partially satisfactory explanations, based on the goals set both for the application as a whole and explanations. Although a full domain model is not implemented, are the results promising; with the inclusion of more domain knowledge and cases, will a fully competent and accurate system be achievable.

When tasks traditionally performed by humans are automated it is important thatthe machines are able to communicate how these tasks are solved and why. Whena user is surprised by the point of time where the task is executed, there is a needto be able to get an explanation to why this point in time was chosen.This project aims at investigating how intelligent systems in general, and case-based reasoning systems in particular can become explanation-aware. Our aim isprimarily to investigate existing case-based reasoning systems to see if explanation-awareness is achievable. Secondary, our aim is to develop a simple case-based rea-soning engine that complies with our theoretical work on explanation-awareness.

Neurons communicate through electrophysiological signals, which may be recorded using electrodes inserted into living tissue.When a neuron emits a signal, it is referred to as a spike, and an electrode can detect these from multiple neurons.Neuronal spike sorting is the process of classifying the spike activity based on which neuron each spike signal is emitted from.Advances in technology have introduced better recording equipment, which allows the recording of many neurons at the same time.However, clustering software is lagging behind.Currently, spike sorting is often performed semi-manually by experts, with computer assistance, in a drastically reduced feature space.This makes the clustering prone to subjectivity.Automating the process will make classification much more efficient, and may produce better results.Implementing accurate and efficient spike sorting algorithms is therefore increasingly important.We have developed parallel implementations of superparamagnetic clustering, a novel clustering algorithm, as well as k-means clustering, serving as a useful comparison.Several feature extraction methods have been implemented to test various input distributions with the clustering algorithms. To assess the quality of the results from the algorithms, we have also implemented different cluster quality algorithms.Our implementations have been benchmarked, and found to scale well both with increased problem sizes and when run on multi-core processors.The results from our cluster quality measurements are inconclusive, and we identify this as a problem related to the subjectivity in the manually classified datasets.To better assess the utility of the algorithms, comparisons with intracellular recordings should be performed.

Extraction of keyphrases from individual documents is a research area in which one try to extract a small set of keyphrases that describe the content of a single document. The advantages with this form of extraction is that it retains most of the semantic context from the document.In this thesis we focus on the news article domain and use the structure of a news article to improve the quality of the extracted keyphrases. An existing individual document keyphrase extraction algorithm is used as the basis. This algorithm is enhanced by implementing a weighting system based upon the structure of news articles. In addition some other common methods for keyword extraction is applied. The effects of these changes are tested extensively in the evaluation phase.In the evaluation of the implemented prototype we find that the introduction of a weight based system yields results that are equal to the basic algorithm and that few improvements can be made. We do however find that an automatically generated stopword list based on the corpus improves the results by 1-2%.

This thesis studies the use of iPad in a Norwegian classroom. The aim of this thesis is to evaluate how suitable the iPad is in a classroom, what are the advantages and disadvantages of using it and if it can produce increased motivation towards learning among students. To conduct this evaluation in a realistic setting, a class with 15 students together with 5 teachers were each provided with 1 iPad. A set of qualitative data gathering activities were selected; observations, focus group meetings and interviews. Through these activities empirical data was obtained for further analysis and discussion.Abstract The findings indicate that the iPad hold many advantages in a classroom, but not without disadvantages. iPad's convenient size made reading easier for the students. Multiple means of content representation and possible ways of expression provided students with options in learning. It was found an increase in motivation among several of the students. The disadvantages are that the iPad requires extensive training, if it would be used to it fullest potential and not as another substitute to a laptop computer. Lack of educational content, such as multimedia enriched books is needed to increase learning, simply because PDF versions of textbooks does not bring anything new except increased portability. Abstract The main challenge in this project was the balancing act of two somewhat conflicting goals: Acquiring knowledge of the pedagogical advantages of the iPad, thus covering the breadth of its features, while at the same time being constrained by very strict network restrictions, which resulted in that not all of iPad's features could be used. Abstract From this work, the project team has gained deep insight in how the iPad should be integrated into schools. We are particularly pleased with how many of the students used the iPad to solve tasks and used it with their schoolwork. The teachers in this thesis are positive towards the iPad's educational capabilities, and this thesis will provide useful information for anyone considering using the iPad in school and what kind of experiences and difficulties to expect.

JavaScript has gained increased usage and attention the last years, but development and testing methods is still lagging behind.To mitigate some of these issues, this thesis brings together unit testing and JavaScript, using test-driven development as a methodology. Through exploration of these topics, the differentiators in a unit testing framework are considered. Existing frameworks are also discussed and how the terminology in JavaScript differs from traditional xUnit family frameworks.By creating and running a set of four test cases, both the general and unique features of JavaScript are tested in hand-picked frameworks, which were decided through an evaluation process. One of the contributions is based on this; a recommendation for a minimum set of test library features for a JavaScript unit testing framework.Various factors were found to differentiate the frameworks, and so the thesis also provides a Discovery test case to emphasize some of these aspects. This test case provides practitioners with a quick option for learning a new framework. The set of test cases can be applied to new frameworks to assess their functionality.As the thesis explores an area with little current research, suggestions for further work present several topics, ranging from system level JavaScript testing to quantitative studies building on the set of test cases.

This project has implemented SimiLite, a plug-in to SQLite which en-ables the usage of metric indices in SQL tables. SimiLite can easily beextended with different indices, and the indices LAESA and SSSTreehas been implemented and verified.This project has also implemented a framework for easy comparisonof the indices within SimiLite.It was found that while SimiLite causes a slow-down of about 5-10compared to the reference solution for a light metric, this will balanceout quickly once the cost of the metric increases.