Data Mining: Practical Machine Learning Tools and Techniques, Second Edition

Figure 10.13 Working on the segmentation data with the User Classifier: (a) the data visualizer and (b) the tree visualizer. 390 ...

List of Tables Table 1.1 The contact lens data. 6 Table 1.2 The weather data. 11 Table 1.3 Weather data with some numeric attrib ...

Table 5.2 Confidence limits for Student’s distribution with 9 degrees of freedom. 155 Table 5.3 Different outcomes of a two-clas ...

Preface The convergence of computing and communication has produced a society that feeds on information. Yet most of the informa ...

alchemy. Instead, there is an identifiable body of simple and practical techniques that can often extract useful information fro ...

The book spans the gulf between the intensely practical approach taken by trade books that provide case studies on data mining a ...

who interprets them, and that person needs to know something about how the models are produced to appreciate the strengths, and ...

object-oriented languages because programs written in Java can be run on almost any computer without having to be recompiled, ha ...

in Section 6.3. We have included more recent material on implementing nonlinear decision boundaries using both the kernel percep ...

are used to find nearest neighbors efficiently and to accelerate distance-based clustering. Chapter 5 describes the principles o ...

ration. All who have worked on the machine learning project here have con- tributed to our thinking: we would particularly like ...

Ian Witten would like to acknowledge the formative role of his former stu- dents at Calgary, particularly Brent Krawchuk, Dave M ...

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part I Machine Learning Tools and Techniques ...

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Human in vitrofertilization involves collecting several eggs from a woman’s ovaries, which, after fertilization with partner or ...

duction history influences this decision. Other factors include age (a cow is nearing the end of its productive life at 8 years) ...

with the idea that patterns in data can be sought automatically, identified, validated, and used for prediction. What is new is ...

Now, finally, we can say what this book is about. It is about techniques for finding and describing structural patterns in data. ...

features mean later. Each line of the table is one of the examples. Part of a struc- tural description of this information might ...