Search (3 results, page 1 of 1)

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Abstract

Web mining aims to discover useful information and knowledge from the Web hyperlink structure, page contents, and usage data. Although Web mining uses many conventional data mining techniques, it is not purely an application of traditional data mining due to the semistructured and unstructured nature of the Web data and its heterogeneity. It has also developed many of its own algorithms and techniques. Liu has written a comprehensive text on Web data mining. Key topics of structure mining, content mining, and usage mining are covered both in breadth and in depth. His book brings together all the essential concepts and algorithms from related areas such as data mining, machine learning, and text processing to form an authoritative and coherent text. The book offers a rich blend of theory and practice, addressing seminal research ideas, as well as examining the technology from a practical point of view. It is suitable for students, researchers and practitioners interested in Web mining both as a learning text and a reference book. Lecturers can readily use it for classes on data mining, Web mining, and Web search. Additional teaching materials such as lecture slides, datasets, and implemented algorithms are available online.

Content

Inhalt: 1. Introduction 2. Association Rules and Sequential Patterns 3. Supervised Learning 4. Unsupervised Learning 5. Partially Supervised Learning 6. Information Retrieval and Web Search 7. Social Network Analysis 8. Web Crawling 9. Structured Data Extraction: Wrapper Generation 10. Information Integration

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Abstract

Der Begriff Big Data hat spätestens in diesem Jahr der Überwachung den Durchbruch geschafft - mit dem Sammelband des Suhrkamp Verlags bekommt nun jedermann den Data-Durchblick. ... Experten aus Theorie und Praxis bringen ihre Erfahrungen und Meinungen im Suhrkamp-Werk kurz und präzise auf den Punkt und bieten damit einen guten Überblick über die Thematik, die gerade erst in den Startlöchern steht.

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Abstract

Algorithmen nehmen Einfluss auf unser Leben: Von ihnen hängt es ab, ob man etwa einen Kredit für sein Haus erhält und wie viel man für die Krankenversicherung bezahlt. Cathy O'Neil, ehemalige Hedgefonds-Managerin und heute Big-Data-Whistleblowerin, erklärt, wie Algorithmen in der Theorie objektive Entscheidungen ermöglichen, im wirklichen Leben aber mächtigen Interessen folgen. Algorithmen nehmen Einfluss auf die Politik, gefährden freie Wahlen und manipulieren über soziale Netzwerke sogar die Demokratie. Cathy O'Neils dringlicher Appell zeigt, wie sie Diskriminierung und Ungleichheit verstärken und so zu Waffen werden, die das Fundament unserer Gesellschaft erschüttern.

Footnote

Originaltitel: Weapons of math destruction:: how Big Data increases inequality and threatens democracy. Vgl. auch den Rezensions-Beitrag: Krüger, J.: Wie der Mensch die Kontrolle über den Algorithmus behalten kann. [19.01.2018]. In: https://netzpolitik.org/2018/algorithmen-regulierung-im-kontext-aktueller-gesetzgebung/.