By Dorian Pyle
I've got loads of adventure getting ready information for research. i used to be searching for a publication that may upload to my knowing of and increase my association for info coaching. this isn't that e-book. At top, the ebook presents perception into the categories of matters confronted in getting ready information and emphasizes the price of such. instead of criticize, I desire to foreworn those that have already practiced at a a little bit rigorous point (more than 5 semesters of statistics/data mining) that this is able to no longer be what you're looking.
Read or Download Data Preparation for Data Mining (The Morgan Kaufmann Series in Data Management Systems) PDF
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Extra resources for Data Preparation for Data Mining (The Morgan Kaufmann Series in Data Management Systems)
Each measurement is, of course, subject to the point distortion, or error, described previously. 3 represents such a single measurement. The central point of each circle represents the idealized point value, and the surrounding circle represents the unavoidable accompanying fuzz or error. Whatever the value of the actual measurement, it must be thought of as being somewhere in this fuzzy area, near to the idealized point value. 3 Taking several point measurement values with uncertainty due to error outlines a measurement curve surrounded by an error band.
It is continuously changing its internal structure to reflect its past experiences, and using those past experiences to modify its environment. If a continuously learning predictive model was given an identical input at different times, it may well produce totally different predictions—depending on what it had experienced, and the changes in its environment, in the interim. This is very different from a sequentially updated series of static models. The key is a continuous interaction between components.
Although this is a very brief summary description of what a continuously learning model looks like in practice, it shows that it has a key place in a data miner’s toolkit. This particular model produced spectacular results. This system was able to achieve, among other things, response rates peaking over 10% (compared to an industry standard of well under 3%) and a greatly reduced acquisition cost (varying from time to time, of course, but under $75 at times compared to the client’s previous $140).