Data Mining: Practical Machine Learning Tools and Techniques, Second Edition
form of pruning is necessary for very large datasets. This can be done by setting aside some validation data and only adding a m ...
containing records of financial transactions. Application of standard programs for machine learning to such datasets in their en ...
are, of course, problem dependent: they depend not just on the dataset but also on what you are trying to do with it. Causalrela ...
fact presents little problem, in practice, with extensive metadata, it will be unrealistic to expect the system’s users to expre ...
previously unknown, and potentially useful information from data. With text mining, however, the information to be extracted is ...
frequently there are not all that many of them. Other words occur so rarely that they are unlikely to be useful for classificati ...
as such. They can aid searching, interlinking, and cross-referencing between documents. How can textual entities be identified? ...
markup is internal and indicates document structure or format; other markup is external and defines explicit hypertext links bet ...
requirement for manual markup—not to mention the huge volumes of legacy pages—will likely increase the demand for automatic indu ...
statistical tests such as cross-validation. Finally, the bad guys can also use machine learning. For example, if they could get ...
typically by distorting it with random values. To preserve privacy, they must guarantee that the mining process does not receive ...
ing perhaps 20 TB—and it continues to grow exponentially, doubling every 6 months or so. Most U.S. consumers use the Web. None o ...
will download new recipes from the Internet, and kid’s toys will refresh them- selves with new games and new vocabularies. Cloth ...
to contain attributes that are apparently highly predictive but nevertheless irrelevant, and specialized statistical tests are n ...
described by Diederich et al. (2003); the same technology was used by Dumais et al. (1998) to assign key phrases from a controll ...
Part II The Weka machine learning workbench ...
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Experience shows that no single machine learning scheme is appropriate to all data mining problems. The universal learner is an ...
Weka was developed at the University of Waikato in New Zealand, and the name stands for Waikato Environment for Knowledge Analys ...
9.2 How do you use it? The easiest way to use Weka is through a graphical user interface called the Explorer. This gives access ...
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