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Friday Press Clippings:
Sports Knowledge Management and Data Mining

From robschumaker.com
By Robert P. Schumaker, Osama K. Solieman and Hsinchun Chen
Download source here: ' Sports Knowledge Management and Data Mining ' by Robert P. Schumaker, Osama K. Solieman and Hsinchun Chen
"... Vast amounts of sports data are routinely collected about players, coaching decisions and game events. Making sense of this data is important to those seeking an edge. By transforming this data into actionable knowledge, scouts, managers and coaches can have a better idea of what to expect from opponents and be able to use a player draft more effectively.
With millions of dollars riding on the many decisions made within a sports franchise, the sports environment is ideal for data mining and knowledge management approaches. While the application these approaches to the sports environment may be unique and the focus of this chapter, the topics of data mining and knowledge management should certainly be well known to the reader and form the basis of the approaches we discuss. ..."
"... Sport statistics, by themselves can be misleading without an understanding of their fundamental meaning. This comes from either imprecise measurement of an event or the sports community’s misuse and over reliance on particular statistics. As evidence, consider the fact that certain players can build impressive individual statistics yet have little impactn on the performance of the team. ..."
"... Another example of statistical imprecision is the measurement the number of defensive rebounds off missed free-throws in Basketball. In order to get a defensive rebound, teammates must block out opposing players and in doing so, they typically cannot get the rebound although their actions arguably make them just as important in the accomplishment.
However, given the way in which rebounds are measured; only the player who gets the ball is credited with the rebound. ... "
"... A recent study into NCAA basketball, found that 1% of games involve some form of point shaving. Being able to discover instances of point shaving is incredibly difficult, especially when there is no serial correlation in betting markets from game to game. ..."
"... Basketball players can use similar video footage services to query the system for articular shots or defensive moves. Before this technology became available, teams would often have to wait several days to receive game footage, but now footage is almost nstantaneously streamed to players, coaches, and scouts alike. It used to be a tedious rocess to retrieve particular video sequences, but now queries such as “corner kicks esulting in a goal in the final two minutes” will return the appropriate footage for further analysis. ..."
Read more articles in robschumaker.com.
To read today's 'Press Clippings' in Spanish, click this week above on the 'Español' tab or afterwards click here: ' Evaluando a jugadores de baloncesto con
matemáticas '.
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tags: basketball ~ statistician's digest ~ basketball analysis ~ Robert P. Schumaker
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Roberto E. Azar
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azarober AT eba-stats DOT com




