Sökning: "data- och systemvetenskap"

Visar resultat 1 - 5 av 775 avhandlingar innehållade orden data- och systemvetenskap.

  1. 1. Towards CSCW design in the Scandinavian tradition

    Detta är en avhandling från Stockholm : Stockholm University

    Författare :Konrad Tollmar; KTH.; KTH.; Stockholms universitet.; [2001]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SRA - ICT; SRA - Informations- och kommunikationsteknik; CSCW; Video communication; Media spaces; datalogi; Computer Science; Teams in the workplace; Data processing; Datorstött samarbete;

    Sammanfattning : This thesis is about how to design Computer Supported Cooperative Work systems (CSCW) on the basis of design practice that is established in the Scandinavian model of System Design. The approach of the thesis is to develop an understanding of the design of CSCW environments through a series of case studies. LÄS MER

  2. 2. Lock-free Concurrent Search

    Detta är en avhandling från ; Chalmers tekniska högskola; Gothenburg

    Författare :Bapi Chatterjee; [2017]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Wait-free; Help-aware; Non-blocking; Concurrency; Linearizability; Lock-based; Lock-free-kD-tree; Amortized Complexity; Data Structure; Binary Search Tree; Blocking; Search; Concurrent; kD-tree; Linked-list; Lock-free; Range Search; Language-portable; Help-optimal; Nearest Neighbour Search; Linearizable; Synchronization;

    Sammanfattning : The contemporary computers typically consist of multiple computing cores with high compute power. Such computers make excellent concurrent asynchronous shared memory system. LÄS MER

  3. 3. External Data Incorporation into Data Warehouses

    Detta är en avhandling från Kista : Institutionen för data- och systemvetenskap (tills m KTH)

    Författare :Mattias Strand; Högskolan i Skövde.; Stockholms universitet.; [2005]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; SOCIAL SCIENCES Statistics; computer and systems science Informatics; computer and systems science Computer and systems science; SAMHÄLLSVETENSKAP Statistik; data- och systemvetenskap Informatik; data- och systemvetenskap Data- och systemvetenskap; Teknik; Technology; data warehouse; external data; syndicate data;

    Sammanfattning : Most organizations are exposed to increasing competition and must be able to orient themselves in their environment. Therefore, they need comprehensive systems that are able to present a holistic view of the organization and its business. LÄS MER

  4. 4. Strategic Planning of Knowledge Management Systems A Problem Exploration Approach

    Detta är en avhandling från Kista : Institutionen för data- och systemvetenskap (tills m KTH)

    Författare :Jan Aidemark; Växjö universitet.; Stockholms universitet.; [2007]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; SOCIAL SCIENCES Statistics; computer and systems science Informatics; computer and systems science; SAMHÄLLSVETENSKAP Statistik; data- och systemvetenskap Informatik; data- och systemvetenskap; Information Systems; Informatik; Knowledge management; SOCIAL SCIENCES Statistics; computer and systems science Informatics; computer and systems science Computer and systems science; SAMHÄLLSVETENSKAP Statistik; data- och systemvetenskap Informatik; data- och systemvetenskap Data- och systemvetenskap; Computer and Systems Sciences; data- och systemvetenskap;

    Sammanfattning : Knowledge management (KM) is focused on the problems and opportunities of using organizational knowledge as a resource. Information systems that are used to support KM processes are called knowledge management systems (KMS). LÄS MER

  5. 5. Advancing Automation in Digital Forensic Investigations

    Detta är en avhandling från Stockholm : Department of Computer and Systems Sciences, Stockholm University

    Författare :Irvin Homem; Stockholms universitet.; [2018]
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Digital Forensics; Machine Learning; Computer Forensics; Network Forensics; Predictive Modelling; Distributed Systems; Mobile Devices; Mobile Forensics; Memory Forensics; Android; Semantic Web; Hypervisors; Virtualization; Remote Acquisition; Evidence Analysis; Correlation; P2P; Bittorrent; data- och systemvetenskap; Computer and Systems Sciences;

    Sammanfattning : Digital Forensics is used to aid traditional preventive security mechanisms when they fail to curtail sophisticated and stealthy cybercrime events. The Digital Forensic Investigation process is largely manual in nature, or at best quasi-automated, requiring a highly skilled labour force and involving a sizeable time investment. LÄS MER