data mining
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- DirectorJulia CreetStarsJulia CreetAlondra NelsonStephen Pinker"Data Mining the Deceased" prods the industry behind the exponential intensity in genealogy. What are the motivations of the key players and how are their ambitions affecting the millions of North Americans who are searching for answers?
- DirectorNathan J KressStarsXuxin ChenAaron HolmesNathan J KressDemo and overview of IMDB Film and TV ratings prediction system using data mining and machine learning techniques. This is a tool that film, tv, and video game production companies can use to determine the ratings of a proposed future film, TV show, or video game before they green-light a proposed project and lock a cast and crew. Our regression method, which produces a predicted score, yielded the highest accuracy in our results with a 95.5% accuracy rate on the top titles we tested it with from a test period of data in late 2018. We loaded IMDB's entire film and TV history since the invention of film (earliest entry was 1894) into a PHP web application and MySQL database. Included in this data is all user ratings of said film and tv shows on a (1-10) scale. We used Classification to label potential new projects: Excellent (7.5 rating and above), Average (5 - 7.4), Poor (2.5 - 4.9), and Terrible (less than 2.5). We used Clustering to analyze the data and identify trends in the data historically and Anomaly Detection to identify Outliers in the data. Further testing on future titles should done to get a true accuracy rate on each function. Our test data consisted of all data provided from IMDB up to late August 2018. We loaded that data up then to create a point where we could test our predictions against the actual ratings titles received which were released between this time and our final report in December 2018.
- DirectorPeter BullStarsAntonia AnthonyKerry AppelHank AsherOne of ABC News anchorman Peter Jennings last documentary specials. This one, a co-production between The Center for Investigative Reporting, Peter Jennings Productions and ABC News, explores the world of post-911 surveillance. Biometrics and data mining are increasingly used to attempt to identify the possible terrorist threat, with grave implications for civil liberties. Most worrisome is the outsourcing of intelligence gathering to private companies, such as Axciom and Choicepoint.
- DirectorFrancisco LoboRomea MurynMaya ShopovaStarsEduardo Unda-SanzanaAn exploration of the territorial complexities of the emerging astro-industry in the Chilean Desert. Entangling the perspectives of the human and non-human, indigenous and foreign inhabitants of the Atacama, the film addresses notions of presence and progress, focusing on the social impacts that they have.
- DirectorWilliam NolandThrough the prism of big data, psychometrics, advanced techniques of persuasion and micro-targeted surveillance, White Space Conflict contemplates Donald Trump's US Presidential election victory and a dystopian, 'big-brothery' future. The film's central voice is that of Alexander Nix, CEO of data mining and strategic communications firm Cambridge Analytica, notorious for its role in Trump's Electoral College victory. A broad range of images related to surveillance systems, from eye tracking to facial recognition, are juxtaposed with the observations of Mr. Nix, a blithe 21st century confidence man. Interspersed are additional comments from a range of others, including, in order: Steve Bannon, White House chief strategist for the Trump Administration and former executive of Breitbart News and former board member of Cambridge Analytica; Julian Assange, the computer programmer who founded Wikileaks in 2006; Jared Lanier, a pioneer in the field of virtual reality known for charting a humanistic approach to technology; Ginni Rometty, Chairman, President and CEO of IBM, a leader in the company's cloud platform and "cognitive solutions" endeavors; Sebastian Gorka, the Hungarian-born American military intelligence analyst, currently a member of the National Security Advisory staff and Deputy Assistant to President Trump; and Tristan Harris, the former Design Ethicist at Google who now leads Time Well Spent, a non-profit movement dedicated to aligning technology with our humanity.
- 202050m8.2 (346)TV EpisodeStarsWilliam GuirolaWyatt HinzWorkers at the Department of Child and Family Services are interviewed about why, despite abuse reports, Gabriel wasn't removed from the home. Gabriel's siblings testify about the torture he endured, and an expert speaks about how data mining could be used to assess risk of future behavior.
- DirectorAdrian CrenshawStarsJohn PlataisWe have all heard the phrase, "Hindsight is 20/20." Usually this resonates as we stand across from our employer admitting some level of guilt for a recent disaster. What if we could predict the future with some degree of acceptable accuracy? What if we knew ahead of time which employee candidate would introduce risk to our organization? What if we were able to pinpoint which of the thousands of current, cyber security threats would have the greatest impact on our unique technology footprint and prioritize those in real time for remediation? What if we had the ability harvest and incorporate the limitless data available both privately and publicly into our decision-making processes without investing millions? This session will answer those questions and more as we explore the data mining and machine learning options available to all of us using only the technology resources we have at our disposal. We will be looking at security specific use cases for predictive analytics that will appeal to all security professionals. We will look at insights and opportunities that can be realized from public data repositories and social media sites where even the most private of us reveal more than we know. Every participant will leave with the knowledge and direction to begin incorporating machine learning and "AI" into their regular deliverables. They will learn what tools are available, what value each of those tools can provide, and what data can yield the greatest results in the shortest amount of time.
- Data mining, discrimination and dangerous content on world's most popular app. In a joint investigation by Four Corners and triple j's Hack, Avani Dias uncovers many techniques TikTok is using to know about its users.
- DirectorJason GaresStarsJohn PlataisEver hear the phrase, "Read between the lines?" This usually refers to one's ability to infer hidden meaning from text. This ability has always been reserved for humans (or those who appear human). That is, until now. This session will look at the tools and efforts needed for "Text Mining" or using Data Mining techniques to infer meaning, biases, misconceptions, and/or hidden agendas from common documents. Viewers will leave with a general understanding of the text mining process along with a list of free/inexpensive tools and services they can use to start text mining right away.