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  • 1
    Online Resource
    Online Resource
    Open Source Intelligence and Cyber Crime : Social Media Analytics (2020)
    Cham :Springer International Publishing, | Cham :Springer.
    Details
    UID:
    almafu_BV046835157
    Format: 1 Online-Ressource (V, 251 p. 88 illus., 69 illus. in color).
    Edition: 1st ed. 2020
    ISBN: 978-3-030-41251-7
    Series Statement: Lecture Notes in Social Networks
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-41250-0
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-41252-4
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-41253-1
    Language: English
    Keywords: Datensicherung ; Computerkriminalität ; Maschinelles Lernen ; Social Media ; Datenanalyse ; Textverstehendes System ; Computerkriminalität
    DOI: 10.1007/978-3-030-41251-7
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032244243&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Buchcover
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    Online Resource
    Online Access
    Open Access Request
    FU Berlin
    HTW Berlin
    Charité
    BTU Cottbus
  • 2
    Online Resource
    Online Resource
    Finding Communities in Social Networks Using Graph Embeddings (2024)
    Cham : Springer Nature Switzerland | Cham : Springer
    Details
    UID:
    b3kat_BV049780543
    Format: 1 Online-Ressource (IX, 177 p. 90 illus., 34 illus. in color)
    Edition: 1st ed. 2024
    ISBN: 9783031609169
    Series Statement: Lecture Notes in Social Networks
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-60915-2
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-60917-6
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-60918-3
    Language: English
    DOI: 10.1007/978-3-031-60916-9
    URL: Volltext  (URL des Erstveröffentlichers)
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    Online Resource
    Online Access
    Open Access Request
    TH Brandenburg
    HTW Berlin
    BTU Cottbus
  • 3
    Book
    Book
    Understanding high-dimensional spaces / (2012)
    Heidelberg [u.a.] :Springer,
    Details
    UID:
    almahu_BV040984299
    Format: IX, 108 S. : , graph. Darst.
    ISBN: 3-642-33397-4 , 978-3-642-33397-2
    Series Statement: Springer Briefs in computer science
    Note: Includes bibliographical references (p. 103-105) and index
    Additional Edition: Erscheint auch als Online-Ausgabe ISBN 978-3-642-33398-9
    Language: English
    Subjects: Computer Science
    RVK:
    ST 265
    Keywords: Hochdimensionale Daten ; Merkmalsraum ; Dichtebasiertes Clusterverfahren ; Cluster ; Maschinelles Lernen ; Data Mining ; Wissensextraktion
    URL: Inhaltsverzeichnis
    URL: Inhaltsverzeichnis
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    Book
    HU Berlin get availability status
    Berlin VÖBB/ZLB get availability status
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  • 4
    Book
    Book
    Foundations of parallel programming (1994)
    Cambridge : Cambridge Univ. Press
    Details
    UID:
    b3kat_BV010104752
    Format: XII, 197 S. , graph. Darst.
    Edition: 1. publ.
    ISBN: 0521455111
    Series Statement: Cambridge international series on parallel computation 6
    Language: English
    Subjects: Computer Science
    RVK:
    ST 150
    RVK:
    ST 230
    Keywords: Parallelverarbeitung ; Programmierung
    URL: Publisher description
    URL: Table of contents
    URL: Inhaltstext
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  • 5
    Online Resource
    Online Resource
    Foundations of parallel programming / (1994)
    Cambridge :Cambridge University Press,
    Details
    UID:
    almafu_9960117027002883
    Format: 1 online resource (xii, 197 pages) : , digital, PDF file(s).
    ISBN: 0-511-52662-8
    Series Statement: Cambridge international series on parallel computation ; 6
    Content: The major reason for the lack of use of parallel computing is the mismatch between the complexity and variety of parallel hardware, and the software development tools to program it. The cost of developing software needs to be amortised over decades, but the platforms on which it executes change every few years, requiring complete rewrites. The evident cost-effectiveness of parallel computation has not been realized because of this mismatch. This book presents an integrated approach to parallel software development by addressing both software and performance issues together. It presents a methodology for software construction that produces architecture-independent and intellectually abstract software. The software can execute efficiently on a range of existing and potential hardware configurations. The approach is based on the construction of categorical data types, a generalization of abstract data types, and of objects. Categorical data types abstract both from the representation of a data type, and also from the detailed control flow necessary to perform operations on it. They thus impose a strong separation between the semantics, on which programs can depend, and the implementation, which is therefore free to hide the parallel machine properties that are used.
    Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015). , English
    Additional Edition: ISBN 0-521-01856-0
    Additional Edition: ISBN 0-521-45511-1
    Language: English
    URL: Volltext
    URL: Inhaltstext
    URL: https://doi.org/10.1017/CBO9780511526626
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Online Access
    HU Berlin
    FU Berlin
    UB Potsdam
  • 6
    Book
    Book
    Programming languages for parallel processing (1995)
    Los Alamitos, Calif. [u.a.] : IEEE Computer Soc. Press
    Details
    UID:
    b3kat_BV010042809
    Format: X, 399 S. , Ill., graph. Darst.
    ISBN: 0818665025
    Language: English
    Subjects: Computer Science
    RVK:
    ST 230
    RVK:
    ST 240
    Keywords: Parallelverarbeitung ; Programmiersprache ; Aufsatzsammlung
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  • 7
    Online Resource
    Online Resource
    Proceedings of the 2007 SIAM International Conference on Data Mining (2007)
    Philadelphia, Pennsylvania : Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104)
    Details
    UID:
    b3kat_BV047262568
    Format: 1 Online-Ressource , illustrations
    ISBN: 9781611972771
    Content: The Sixth SIAM International Conference on Data Mining continues the tradition of presenting approaches, tools, and systems for data mining in fields such as science, engineering, industrial processes, healthcare, and medicine. The datasets in these fields are large, complex, and often noisy. Extracting knowledge requires the use of sophisticated, high-performance, and principled analysis techniques and algorithms, based on sound statistical foundations. These techniques in turn require powerful visualization technologies; implementations that must be carefully tuned for performance; software systems that are usable by scientists, engineers, and physicians as well as researchers; and infrastructures that support them
    Additional Edition: ISBN 9780898716115
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9780898716115
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-1-61197-276-4
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-1-61197-276-4
    Language: English
    Keywords: Konferenzschrift
    DOI: 10.1137/1.9781611972771
    URL: Volltext  (URL des Erstveröffentlichers)
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    Online Resource
    Online Access
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    TU Berlin
  • 8
    Online Resource
    Online Resource
    Cyberspace, Data Analytics, and Policing (2021)
    Milton : CRC Press LLC
    Details
    UID:
    gbv_1766744680
    Format: 1 Online Ressource (274 Seiten)
    ISBN: 9781000465624
    Content: Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- Preface -- List of Figures -- List of Tables -- 1. Introduction -- 2. Cyberspace -- 2.1. What is cyberspace? -- 2.2. The impact of cyberspace -- 2.3. Identity and authentication -- 2.4. Encryption -- 2.5. Crime is changing -- 2.6. Policing is changing -- 3. New opportunities for criminality -- 3.1. Unprecedented access to information -- 3.2. Crimes directed against cyberspace -- 3.2.1. Malware -- 3.2.2. Crimes of destruction -- 3.2.3. Monetized cybercrimes -- 3.2.4. Data theft crimes -- 3.2.5. Secondary markets -- 3.3. Crimes that rely on cyberspace -- 3.3.1. Spam, scams, and cons -- 3.3.2. Financial crime -- 3.3.3. Online shopping -- 3.3.4. Crimes against children -- 3.4. Crimes done differently because of cyberspace -- 3.4.1. Disseminating hatred -- 3.4.2. Selling drugs -- 3.4.3. Stalking and crime preparation -- 3.4.4. Digital vigilantes -- 3.5. Money laundering -- 3.5.1. Cash -- 3.5.2. The financial system -- 3.5.3. International money laundering -- 3.5.4. Cryptocurrencies -- 3.6. Overlap with violent extremism -- 4. New ways for criminals to interact -- 4.1. Criminal collaboration -- 4.2. Planning together -- 4.3. Information sharing -- 4.3.1. Sharing techniques -- 4.3.2. Sharing resources -- 4.3.3. Sharing vulnerabilities -- 4.4. International interactions -- 5. Data analytics makes criminals easier to find -- 5.1. Understanding by deduction -- 5.2. Understanding by induction -- 5.3. Subverting data analytics -- 5.4. Intelligence-led policing -- 5.5. Hot spot policing -- 5.5.1. Place -- 5.5.2. Time -- 5.5.3. Weather -- 5.5.4. People involved -- 5.5.5. Social network position -- 5.6. Exploiting skewed distributions -- 6. Data collection -- 6.1. Ways to collect data -- 6.2. Types of data collected -- 6.2.1. Focused data -- 6.2.2. Large volume data -- 6.2.3. Incident data.
    Note: Description based on publisher supplied metadata and other sources
    Additional Edition: ISBN 9780367642761
    Additional Edition: Erscheint auch als Druck-Ausgabe Skillicorn, David B. Cyberspace, data analytics, and policing Boca Raton, FL : CRC Press, 2022 ISBN 9780367642761
    Additional Edition: ISBN 9780367647766
    Language: English
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Stabi Berlin
  • 9
    Online Resource
    Online Resource
    Proceedings of the Fourth SIAM International Conference on Data Mining (2004)
    Philadelphia, Pennsylvania : Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104)
    Details
    UID:
    b3kat_BV047262549
    Format: 1 Online-Ressource (xiv, 537 Seiten) , Illustrationen, Diagramme
    ISBN: 9781611972740
    Content: We are pleased to present the proceedings of the 2004 SIAM International Conference on Data Mining. The pervasiveness of data mining in research and industry continues to grow, especially in disciplines such as bioinformatics and homeland security. We were excited to have a record number of paper submissions (161) this year as well as a record number of program committee members (90). We hope that the research and experiences captured in these proceedings are insightful to both expert and novice users and practitioners of data mining approaches
    Note: Includes bibliographical references. - Description based on title page of print version
    Additional Edition: ISBN 9780898715682
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9780898715682
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 0-89871-568-7
    Language: English
    Keywords: Konferenzschrift
    DOI: 10.1137/1.9781611972740
    URL: Volltext  (URL des Erstveröffentlichers)
    Author information: Berry, Michael W.
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    Online Resource
    Online Access
    Open Access Request
    TU Berlin
  • 10
    Online Resource
    Online Resource
    Proceedings of the Sixth SIAM International Conference on Data Mining (2006)
    Philadelphia, Pennsylvania : Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104)
    Details
    UID:
    b3kat_BV047262552
    Format: 1 Online-Ressource , Illustrationen
    ISBN: 9781611972764
    Content: The Sixth SIAM International Conference on Data Mining continues the tradition of presenting approaches, tools, and systems for data mining in fields such as science, engineering, industrial processes, healthcare, and medicine. The datasets in these fields are large, complex, and often noisy. Extracting knowledge requires the use of sophisticated, high-performance, and principled analysis techniques and algorithms, based on sound statistical foundations. These techniques in turn require powerful visualization technologies; implementations that must be carefully tuned for performance; software systems that are usable by scientists, engineers, and physicians as well as researchers; and infrastructures that support them
    Additional Edition: ISBN 9780898716115
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9780898716115
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 0-89871-611-X
    Language: English
    Keywords: Konferenzschrift
    DOI: 10.1137/1.9781611972764
    URL: Volltext  (URL des Erstveröffentlichers)
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    Online Resource
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    TU Berlin
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