Big Data. Episode 13, Anomalies and Breaking Trends.
(eVideo)

Book Cover
Contributors
Published
[San Francisco, California, USA] : The Great Courses, 2014., Kanopy Streaming, 2019.
Physical Desc
1 online resource (streaming video file) (32 minutes): digital, .flv file, sound
Status

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Format
eVideo
Language
English

Notes

General Note
Title from title frames.
General Note
Film
General Note
In Process Record.
Participants/Performers
Tim Chartier
Date/Time and Place of Event
Originally produced by The Great Courses in 2014.
Description
Sometimes it is the odd bit of data - the outlier in a sea of statistics - that is crucial to solving a mystery. See how sophisticated anomaly detection has led to a significant drop in credit card fraud. The same approach helps understand cultural trends that go viral.
System Details
Mode of access: World Wide Web.

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Citations

APA Citation, 7th Edition (style guide)

Chartier, T. (2014). Big Data . The Great Courses.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Chartier, Tim. 2014. Big Data. The Great Courses.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Chartier, Tim. Big Data The Great Courses, 2014.

MLA Citation, 9th Edition (style guide)

Chartier, Tim. Big Data The Great Courses, 2014.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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Grouped Work ID
9f79debb-c91c-125f-f2ab-a98759abf807-eng
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Grouping Information

Grouped Work ID9f79debb-c91c-125f-f2ab-a98759abf807-eng
Full titlebig data episode 13 anomalies and breaking trends
Authorthe great courses
Grouping Categorymovie
Last Update2024-03-13 16:14:09PM
Last Indexed2024-06-15 01:02:23AM

Book Cover Information

Image Sourcesideload
First LoadedJan 4, 2024
Last UsedJun 16, 2024

Marc Record

First DetectedJul 18, 2023 10:20:43 AM
Last File Modification TimeMar 13, 2024 04:16:49 PM

MARC Record

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