The Dark Net Black Book: Linking you to the other side.

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In 'Exploration of the Deep Web' Kash Laden showed you exactly how to get on to the Dark Net safely and anonymously. In the eye opening 'Dark Net Black Book' you will find at least 100 links to hidden websites on the Dark Net.

The aim of this guide is to give you a taste of what is down there, beyond the surface of the known internet. Each link has been tested and is known to have worked at the time of publication. Due to the nature of the Dark Net, some links die off. However, in an unprecedented move, you will be pleased to know that this guide will be updated every three months to ensure the validity of each link within.
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Mining the Web: Discovering Knowledge from Hypertext Data (The Morgan Kaufmann Series in Data Management Systems)

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Mining the Web: Discovering Knowledge from Hypertext Data is the first book devoted entirely to techniques for producing knowledge from the vast body of unstructured Web data. Building on an initial survey of infrastructural issues-including Web crawling and indexing-Chakrabarti examines low-level machine learning techniques as they relate specifically to the challenges of Web mining. He then devotes the final part of the book to applications that unite infrastructure and analysis to bring machine learning to bear on systematically acquired and stored data. Here the focus is on results: the strengths and weaknesses of these applications, along with their potential as foundations for further progress. From Chakrabarti's work-painstaking, critical, and forward-looking-readers will gain the theoretical and practical understanding they need to contribute to the Web mining effort.

* A comprehensive, critical exploration of statistics-based attempts to make sense of Web Mining.
* Details the special challenges associated with analyzing unstructured and semi-structured data.
* Looks at how classical Information Retrieval techniques have been modified for use with Web data.
* Focuses on today's dominant learning methods: clustering and classification, hyperlink analysis, and supervised and semi-supervised learning.
* Analyzes current applications for resource discovery and social network analysis.
* An excellent way to introduce students to especially vital applications of data mining and machine learning technology.

Dentro Anonymous. Viaggio nelle legioni dei cyberattivisti (Italian Edition)

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Cosa è successo al movimento di hacktivisti dopo l'ondata di arresti internazionali di alcuni mesi fa? Come si organizza? Quali sono i suoi strumenti? Come sono state effettuate alcune delle azioni più famose, compiute in Italia e all'estero? E perché?

Tra testimonianze dirette, decine di interviste, retroscena mai usciti, questa inchiesta sul campo ricostruisce gli ultimi sviluppi di Anonymous, il gruppo di cyberattivisti che ha dichiarato guerra a governi e aziende di mezzo mondo mostrando l'influenza morale di Julian Assange e il suo rapporto con WikiLeaks.
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How To Hack Gmail?: Tricks & Methods to hack any Gmail account!

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The book “How To Hack Gmail?” consists of the tricks & methods used by hacker’s all around the world to hack any Gmail account. Please don’t use this book for any bad purpose for Hacking others Gmail account (or) so on but use it only to protect your account from hacker’s!

The author of the book is not responsible for anything you do against law with the help of this book!