Coping with new Challenges in Clustering and Biomedical Imaging

The last years have seen a tremendous increase of data acquisition in different scientific fields such as molecular biology, bioinformatics or biomedicine. Therefore, novel methods are needed for automatic data processing and analysis of this large amount of data. Data mining is the process of applying methods like clustering or classification to large databases in order to uncover hidden patterns. Clustering is the task of partitioning points of a data set into distinct groups in order to minimize the intra cluster similarity and to maximize the inter cluster similarity. In contrast to unsupervised learning like clustering, the classification problem is known as supervised learning that aims at the prediction of group membership of data objects on the basis of rules learned from a training set where the group membership is known. Specialized methods have been proposed for hierarchical and partitioning clustering. However, these methods suffer from several drawbacks. In the first part of this work, new clustering methods are proposed that cope with problems from conventional clustering algorithms. ITCH (Information-Theoretic Cluster Hierarchies) is a hierarchical clustering method that is based on a hierarchical variant of the Minimum Description Length (MDL) principle which finds hierarchies of clusters without requiring input parameters. As ITCH may converge only to a local optimum we propose GACH (Genetic Algorithm for Finding Cluster Hierarchies) that combines the benefits from genetic algorithms with information-theory. In this way the search space is explored more effectively. Furthermore, we propose INTEGRATE a novel clustering method for data with mixed numerical and categorical attributes. Supported by the MDL principle our method integrates the information provided by heterogeneous numerical and categorical attributes and thus naturally balances the influence of both sources of information. A competitive evaluation illustrates that INTEGRATE is more effective than existing clustering methods for mixed type data. Besides clustering methods for single data objects we provide a solution for clustering different data sets that are represented by their skylines. The skyline operator is a well-established database primitive for finding database objects which minimize two or more attributes with an unknown weighting between these attributes. In this thesis, we define a similarity measure, called SkyDist, for comparing skylines of different data sets that can directly be integrated into different data mining tasks such as clustering or classification. The experiments show that SkyDist in combination with different clustering algorithms can give useful insights into many applications. In the second part, we focus on the analysis of high resolution magnetic resonance images (MRI) that are clinically relevant and may allow for an early detection and diagnosis of several diseases. In particular, we propose a framework for the classification of Alzheimer's disease in MR images combining the data mining steps of feature selection, clustering and classification. As a result, a set of highly selective features discriminating patients with Alzheimer and healthy people has been identified. However, the analysis of the high dimensional MR images is extremely time-consuming. Therefore we developed JGrid, a scalable distributed computing solution designed to allow for a large scale analysis of MRI and thus an optimized prediction of diagnosis. In another study we apply efficient algorithms for motif discovery to task-fMRI scans in order to identify patterns in the brain that are characteristic for patients with somatoform pain disorder. We find groups of brain compartments that occur frequently within the brain networks and discriminate well among healthy and diseased people

Responsible AI and Analytics for an Ethical and Inclusive Digitized Society

publishedVersio

Advances in knowledge discovery and data mining Part II

19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part II</p

Association of Architecture Schools in Australasia

"Techniques and Technologies: Transfer and Transformation", proceedings of the 2007 AASA Conference held September 27-29, 2007, at the School of Architecture, UTS

Landscape brief for Egyptian desert new towns

SIGLEAvailable from British Library Document Supply Centre- DSC:D79953 / BLDSC - British Library Document Supply CentreGBUnited Kingdo

Technology 2003: The Fourth National Technology Transfer Conference and Exposition, volume 2

Proceedings from symposia of the Technology 2003 Conference and Exposition, Dec. 7-9, 1993, Anaheim, CA, are presented. Volume 2 features papers on artificial intelligence, CAD&E, computer hardware, computer software, information management, photonics, robotics, test and measurement, video and imaging, and virtual reality/simulation

realms of urban design:

The traditional thematic realms of urban design, such as liveability, social interaction, and quality of urban life, considered to be closely related to urban form and specifically to public space, have long since been recognised as important, and have given the discipline a certain identity. The book Realms of Urban Design: Mapping Sustainability is certainly rooted in this fundamental urban design thinking, but its main contribution belongs to the second part of the book’s title – discourse on sustainability. Its chapters, considered as a whole, put forward the importance of the discipline and the designerly way of thinking in the context of the discussion about unprecedented environmental transformation. The eleven chapters of the book represent the major sustainability concerns that the authors have seen as being related to the urban design discipline in their specific professional and environmental contexts. Therefore, the chapters as an entity could be seen as an act of mapping the sustainability issues that are coming “from the front” of urban design research and practice at the universities involved in the project Creating the Network of Knowledge Labs for Sustainable and Resilient Environments (KLABS). They show disciplinary, mostly methodological, concerns with the larger scales in comparison to those of the neighbourhoods and public space that are traditionally connected to urban design; with the collective or common nature of urban space; and with the distinctive, underused spaces coming not only as a legacy of the 20th century, but also as an important by-product of contemporary economic trends. The first four chapters tackle the self-questioning of the disciple of urbanism in the wake of spatial, social, and environmental change at an unprecedented planetary scale. They are assembled around the question of what the sustainability concept means for the discipline and how the discipline should change to become socially relevant in the context of dynamic spatial transformation? The chapters are review contributions to recent theoretical and methodological rethinking of design approaches to the urban condition, with a focus on multi-scale and process-oriented urbanism. The chapters call for an integrated design approach in the sense of finding a theoretical and methodological common ground for separated disciplines of architecture, urban design, and urban planning. The next two chapters examine what is, in the traditional manner, considered to be the main theoretical and analytical focus and the main creative and practical outcome of urban design – the urban form. How we should understand, analyse, and design the urban form in the context of the contemporary complexities of urbanisation? Two chapters present opposing perspectives of urban form design. One is a morphological approach in which the urban form is seen as a disciplinary tool of conceptualisation and regulation of the city, using sophisticated concepts such as landscape and place, while the other maps the urban form as a resident’s basic expression of the need for shelter, territory of everyday use, and cultural interpretation of home, beyond regulation and urban design. By putting the two approaches side by side, the urban form can be comprehended as the simultaneous materialisation and negotiation of the ground of power intentions and everyday practice. Chapters 7 and 8 are dedicated to a specific dimension of urban design process – participation. Who can participate in the design of territories and places? Who has the privilege to define who will participate? How should an urbanist manage the many different and contradictory requirements? Ultimately, how can people be encouraged and stimulated to take part in the public urban debate? These are the highly important questions rising in the wake of the urbanism crisis, intensified with the disintegration of the holistic expression of the public interest, characteristic of the modernist period. These chapters present a review of important theoretical considerations and recent experience of multi-voice design methodologies. The final three chapters deal with the specific typology of urban space - previously developed and then abandoned, forgotten and underused spaces of an economic and technological past. These reminders of past urbanisation are still numerous in the western Balkan countries. What could the role of these places be in the sustainable strategies of urbanisation? How can the approach to the urban regeneration (planning, regulation, and design) of these spaces be conceptualised in order to be in tune with the ecological and social demands of a distressed planet and local historical and cultural values? By explaining the specific theoretical concepts and western Balkan case studies, these chapters tackle the most important issue related to sustainability and the management of urbanisation - the question of spatial resources