Similarities between Data mining and National Security Agency
Data mining and National Security Agency have 5 things in common (in Unionpedia): Edward Snowden, Global surveillance disclosures (2013–present), IBM, Microsoft, United States Congress.
Edward Snowden
Edward Joseph Snowden (born June 21, 1983) is an American computer professional, former Central Intelligence Agency (CIA) employee, and former contractor for the United States government who copied and leaked classified information from the National Security Agency (NSA) in 2013 without authorization.
Data mining and Edward Snowden · Edward Snowden and National Security Agency ·
Global surveillance disclosures (2013–present)
Ongoing news reports in the international media have revealed operational details about the United States National Security Agency (NSA) and its international partners' global surveillance of foreign nationals and U.S. citizens.
Data mining and Global surveillance disclosures (2013–present) · Global surveillance disclosures (2013–present) and National Security Agency ·
IBM
The International Business Machines Corporation (IBM) is an American multinational technology company headquartered in Armonk, New York, United States, with operations in over 170 countries.
Data mining and IBM · IBM and National Security Agency ·
Microsoft
Microsoft Corporation (abbreviated as MS) is an American multinational technology company with headquarters in Redmond, Washington.
Data mining and Microsoft · Microsoft and National Security Agency ·
United States Congress
The United States Congress is the bicameral legislature of the Federal government of the United States.
Data mining and United States Congress · National Security Agency and United States Congress ·
The list above answers the following questions
- What Data mining and National Security Agency have in common
- What are the similarities between Data mining and National Security Agency
Data mining and National Security Agency Comparison
Data mining has 187 relations, while National Security Agency has 466. As they have in common 5, the Jaccard index is 0.77% = 5 / (187 + 466).
References
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