George Papadopoulos - Böcker

“George Papadopoulos was the whole reason for the Trump Russia investigation.”—Rep. Mark Meadows, R-N.C.Deep State Target is the only firsthand account that proves the attempted sabotage of Donald Trump’s presidential campaign by American and international intelligence services, from former Trump advisor George Papadopoulos—whose global network, clandestine meetings about Hillary Clinton’s hacked emails, and rift with former Attorney General Jeff Sessions made him the first target of Spygate, the Mueller Investigation, and the Russian Collusion Hoax.As a young, ambitious foreign policy advisor to Donald Trump’s presidential campaign, Papadopoulos became the first Trump official to plead guilty in special Counsel Robert Mueller’s investigation into Russian interference in the 2016 election. He is now the first campaign advisor sentenced and to have served time in prison. But as he explains in Deep State Target, there was an intricate set up at play, and it was neither Trump nor the Russians pulling the strings. American and allied intelligence services set out to destroy a Trump presidency before it even started. An energy policy consultant working for the insurgent campaign, Papadopoulos encountered a rogues’ gallery of infamous figures employed by agents from the US, Britain, and Australia. Here, he gives the play-by-play of how operatives like Professor Joseph Mifsud, Sergei Millian, Alexander Downer, and Stefan Halper worked to invent a Russian conspiracy that would irreparably damage the Trump administration.Papadopoulos was there: In secret meetings across the globe, on city streets being tailed by agents, watching Jeff Sessions make false statements under oath about a strategy session he attended, and ultimately being interrogated by Mueller’s team and agreeing to a guilty plea.Deep State Target is a shocking account of international spy games and a disturbing eyewitness report on a secret double government—the Deep State—intent on destroying lives and a presidency.

This book constitutes the proceedings of the 21st International Conference on Discovery Science, DS 2018, held in Limassol, Cyprus, in October 2018, co-located with the International Symposium on Methodologies for Intelligent Systems, ISMIS 2018.The 30 full papers presented together with 5 abstracts of invited talks in this volume were carefully reviewed and selected from 71 submissions. The scope of the conference includes the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, intelligent data analysis, big data analysis as well as their application in various scientific domains. The papers are organized in the following topical sections: Classification; meta-learning; reinforcement learning; streams and time series; subgroup and subgraph discovery; text mining; and applications.