The purpose of this thesis was to find out whether the main class C (religion) in the Swedish classification system Klassifikationssystem för svenska bibliotek is well adapted to classify materials published in or imported to Sweden, and handled by Swedish libraries today. The questions we put to ourselves were:1. How easy to understand, and how useful is the main class C religion today?2. What, in the main class C, is satisfactory?3. What, in the main class C, is inconsistent, anachronistic or incorrect?4. What, in the main class C, is in need of change or renewal?The method that was used was a number of interviews with librarians and cataloguers. We have interviewed eight librarians from six different libraries, of different types, but all with a relatively large collection of religious materials.Though all of our respondents have expressed a feeling that all the major religions deserve equal treatment in the classification system and a similar division of space, after some pondering on the subject, our respondents have agreed that a larger space for Christianity is warranted considering the composition of the current collections and publication. Our respondents have in some cases expressed that there is a lack of instructions as to how the subdivisions of the main class C (religion) is meant to be used.

This bachelor thesis is a study about the change of the classificationsystems in Swedish libraries. The empirical data was collected through four qualitative interviews with both research and public libraries. The data was analyzed by the use of organizational theory based upon Joacim Hanssons book Libraries and identity: the role of institutional self-image and identity in emergence of new types of libraries. The empirical result points to a major change in how libraries and librarians look and work with their collections, it can also be said that the librarians do not seem to think that the users will be affected at all.The analysis was based on these issues: What positive and negative effects introducing DDC will there be on research- reflective public libraries?What will be the effects on the librarysector introducing the new classification system DDC?What will be the effects on the users introducing the new classification system DDC? .

This is a study in the field of Music Information Retrieval (MIR) concerning classification of musicgenre. The study uses a music listening experiment and machine learning methods to determinewhether or not the drum sounds from different songs contain sufficient information to classifygenre.MIR methods are used to extract data from the audio signals. The data is used together with theclassification results of the listening experiment to train different machine learning algorithms toclassify the songs in different genres.The results indicate that using only drum sounds for genre classifications works well, both forlisteners and for machine learning methods..

This master thesis concerns the relationship the librarianhas to the libraries classification system. The system itselfis made by librarians for librarians and is only used bylibrarians. This raises the question of how the librariansrelate to their own system to create order. The empiricalmaterial consists of five in-depth interviews with librarians.Two theoretical approaches were used in the analysis of thematerial with one focus on the librarian?s professional rolland the other on the postmodern theories about humansneed for order.

Statistics Sweden is an administrative agency that delimits built-up areas and produces statistics regarding them. The statistics provide information about the area of the built-up areas, their population number, number of gainfully employees working in the built-up areas, and of buildings. Now Statistics Sweden wishes to extend such statistics by producing a measure regarding how well developed the service is in each built-up area.This study is a contribution to this statistical improvement work and the purpose is to ? by employing geographical information systems and cluster analysis ? classify the Swedish built-up areas according to 1) service width and 2) service degree. A particular built-up area has a high service width if it has many different service functions, such as pharmacies, schools and grocery stores.

The amount of information stored on the internet grows daily and naturally the requirements on the systems used to search for and analyse information increases. As a part in meeting the raised requirements this study investigates if it is possible for a automatised text analysis system to distinguish certain groups and categories of words in a text, and more specifically investigate if it is possible to distinguish words with a high information value from words with a low information value. This is important to enable optimizations of systems for global surveillance and information retrieval. The study is carried out using word spaces, which are often used in text analysis to model language. The distributional character of certain categories of words is examined by studying the intrinsic dimensionality of the space, locally around different words.

The subject of this thesis is the application of Support Vector Machines on two totally different applications, facial expressions recognition and remote sensing.The basic idea of kernel algorithms is to transpose input data in a higher dimensional space, the feature space, in which linear operations on the data can be processed more easily. These operations in the feature space can be expressed in terms of input data thanks to the kernel functions. Support Vector Machines is a classifier using this kernel method by computing, in the feature space and on basis of examples of the different classes, hyperplanes that separate the classes. The hyperplanes in the feature space correspond to non linear surfaces in the input space.Concerning facial expressions, the aim is to train and test a classifier able to recognise, on basis of some pictures of faces, which emotion (among these six ones: anger, disgust, fear, joy, sad, and surprise) that is expressed by the person in the picture. In this application, each picture has to be seen has a point in an N-dimensional space where N is the number of pixels in the image.The second application is the detection of camouflage nets hidden in vegetation using a hyperspectral image taken by an aircraft.

We have produced a process mapping and from there developed a document management plan for the research service at the Labour Movement Archives and Library (ARAB) in Stockholm, Sweden. The project was conducted during five weeks in the spring of 2011 at ARAB and the resulting classification structure and document plan has been formulated and presented to the staff at a seminar. We found that the institution in some cases were suffering from an inadequate documentation in a number of the identified processes, and also in their records management and archiving. In this additional memorandum follows an analyzing discussion of activity-based document- and archive management, e-archives and process mapping. We have accordingly tried to standardize the process of research services and contribute to a more adequate document management within the institution.

The aim is to develop a new decision-making model for credit-loans. The model will be specific for credit applicants of the OKQ8 bank, becauseit is based on data of earlier applicants of credit from the client (the bank). The final model is, in effect, functional enough to use informationabout a new applicant as input, and predict the outcome to either the good risk group or the bad risk group based on the applicant?s properties.The prediction may then lay the foundation for the decision to grant or deny credit loan.Because of the skewed distribution in the response variable, different sampling techniques are evaluated. These include oversampling with SMOTE, random undersampling and pure oversampling in the form of scalar weighting of the minority class.

If customers respond differently to a campaign, it is worthwhile to find those customers who respond most positively and direct the campaign towards them. This can be done by using so called incremental response analysis where respondents from a campaign are compared with respondents from a control group. Customers with the highest increased response from the campaign will be selected and thus may increase the company?s return. Incremental response analysis is applied to the mobile operator Tres historical data.

In Halland, agriculture is the major source of eutrophication of water. In the study, synoptic sampling were performed in the three watercourses Nyrebäcken, Skintan and Vinån all located in the county of Halland. Sampling occurred during the period February to May on three occasions with different flow rates: high, low and base flow. Samples were taken in the mainstream and tributaries with intention to show how big the impact of eutrophication it is in the water and  to assess the impact of the tributariesThe results show that all watercourses are affected by eutrophication. Nyrebäcken has the highest concentrations of nitrogen and phosphorus in the mainstream, then Skintan and last Vinån.

Fastighetsregistret (The Cadastre) is a large and important information sourcesupplied by Lantmäteriet (the Swedish mapping, cadastral and land registrationauthority). Fastighetsregistret provides geographical information about the 3.2 millionestates in use in Sweden. Fastighetsregistret has a large number of users who trustthat the provided data is reliable, but experience shows that the data can have varyingquality. As a user it is not always possible to access more detailed information inorder to assess to what extent the data in Fastighetsregistret is reliable.The purpose of this master's thesis is to investigate the possibilities of a system with agraphical user interface that present, classify and visualize the quality of the data inFastighetsregistret. The defined user group for this suggestion is internal users atLantmäteriet who have a good understanding of Fastighetsregistret.

This Masters thesis concerns epistemology in Knowledge Organization KO, as a field of study in Library and Information Science LIS. Using a theoretical model by Birger Hjørland and foucauldian discourse analysis as springboards, this study analyses three epistemological discourses in the practice of KO. The aim of the study is to show how these discourses are constituted and demarcated in relation to KO, as well as to examine how they fit into Hjørlands model. A brief historical outline of some epistemological trends in LIS is sketched, as well as examples of how different epistemological schools influence different parts of KO, e.g. information retrieval, indexing- and classification theory.

The number of people of getting allergic symptoms is increasing and the reasons are considered to be many. The human have changed their habits and spend more time indoor. In combination with new building technologies where denser housing constructions and new materials this causes bad indoor climate contributes to a higher occurrence of allergiesThere are several courses of action to deal with this problem. One action is by choosing allergy-free interior surface materials. An allergy-free material emits low concentrations of harmful substances resulting in a great indoor air quality.

The purpose of this Master?s thesis is to present a survey of how Swedish libraries provide information services for children. In this thesis ?information? means non-fiction material and ?children? do not include preschool children. The method used is knowledge overview and the material (mostly Master theses in LIS published January 2001-June 2006) is related to user studies of children as information seekers.