PPT-Mining the Dark

W eb Drugs and Fake IDs Andres Baravalle Mauro Sanchez Lopez Outline Synopsis and introduction Surface web deep web and dark web Dark markets Going undercover in Agora Results What now. This . powerpoint. will show you the basics of dark matter and dark energy . Their place in the universe . By Jordan . Ilori. . DARK MATTER. Dark matter is a type of matter hypothesized in astronomy and cosmology to account for a large part of the mass that appears to be missing from the universe. Dark matter cannot be seen directly with telescopes; evidently it neither emits nor absorbs light or other electromagnetic radiation at any significant level. Instead, the existence and properties of dark matter are inferred from its gravitational effects on visible matter, radiation, and the large-scale structure of the universe. According to the Planck mission team, and based on the standard model of cosmology, the total mass–energy of the known universe contains 4.9% ordinary matter, 26.8% dark matter and 68.3% dark energy. Thus, dark matter is estimated to constitute 84.5% of the total matter in the universe and 26.8% of the total content of the universe.. Sam Chikowore. – Exporien Mining. Zimbabwe Mining and Infrastructure Indaba . 2013.. WHO ARE THEY?. THE ARTISANAL MINERS. THE MINING CO-OPERATIVES. WOMEN MINING CO-OPERATIVES. THE JUNIOR MINING COMPANIES. An overview on the contributors of light pollution and its affects.. A Tale of Two Paintings. Vincent Van Gogh: . A Starry Night. . Saint . Rémy. , June 1889 Post-Impressionism. Giacomo. . Balla. Fallen man's inability fully to comprehend haunting reminders of another, supernatural realm that yet seemed not to exist, the constant perplexity of inexplicable and vastly metaphysical phenomena, a propensity for seemingly perverse or evil moral choices that had no firm or fixed measure or rule, and a sense of nameless guilt combined with a suspicion the external world was a delusive projection of the mind--these were major elements in the vision of man the Dark Romantics opposed to the mainstream of Romantic thought. (Part 1). Mining of Massive Datasets. Jure Leskovec, . Anand. . Rajaraman. , Jeff Ullman . Stanford University. http://www.mmds.org . Note to other teachers and users of these . slides:. We . would be delighted if you found this our material useful in giving your own lectures. Feel free to use these slides verbatim, or to modify them to fit your own needs. (Part . 2). Mining of Massive Datasets. Jure Leskovec, . Anand. . Rajaraman. , Jeff Ullman . Stanford University. http://www.mmds.org . Note to other teachers and users of these . slides:. We . would be delighted if you found this our material useful in giving your own lectures. Feel free to use these slides verbatim, or to modify them to fit your own needs. Dr. Simona . Murgia. (UC, Irvine). Dr. Will Dawson (Lawrence Livermore National Laboratory). Carolyn Slivinski (STScI). Facilitator: Dr. Emma Marcucci (STScI). Science Briefing. October . 5. , 2017. By: . Todd Careless. 2. Criminal activity that is spanned by the Dark Web . includes: . theft . of intellectual . property . financial fraud . hacking . and . terrorism.   . Organizations . must take proactive steps to be prepared for these threats.  In order to be ready, companies need to be well informed about this type of criminal activity in order to prevent and overcome any potential threats. . Romanticism. Fascinated . with evil, madness, murder, and . death. Stories and poems usually feature outcasts from society, personal torment, and uncertainty as to whether the nature of man will bring salvation or destruction. 2). Mining of Massive Datasets. Jure Leskovec, . Anand. . Rajaraman. , Jeff Ullman . Stanford University. http://www.mmds.org . Note to other teachers and users of these . slides:. We . would be delighted if you found this our material useful in giving your own lectures. Feel free to use these slides verbatim, or to modify them to fit your own needs. CSC 575. Intelligent Information Retrieval. Intelligent Information Retrieval. 2. Web Mining. Today. Overview of Web Data Mining. Web Content Mining / Text Mining. Web Usage Mining. Web Personalization. http://www.cs.uic.edu/~. liub. CS583, Bing Liu, UIC. 2. General Information. Instructor: Bing Liu . Email: liub@cs.uic.edu . Tel: (312) 355 1318 . Office: SEO 931 . Lecture . times: . 9:30am-10:45am. Cindi Godsey, Permit Writer and Alaska Mining Coordinator, US EPA Region 10. Patty McGrath, Permitting Manager, . Donlin. Gold LLC. Lorraine Edmond. , Hydrogeologist, US EPA Region 10. Mining Information Session. interesting . and . useful. information from Web . content. and . usage . data. What is Web Mining?. Web mining is . a data . mining . technique . to extract knowledge from . web data. . . Web data includes : .