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Tumi Morgan Kaufmann ; London: In he was involved in building artificially intelligent machine learning systems utilizing the pioneering technologies that are currently known as neural computing and associative memories.
English Choose a language for shopping. It must be done correctly from the start, or all downstream processing and conclusions are suspect.
Dorian Pyle corrects this imbalance. Also included are demonstration versions of three commercial products that help with data preparation, along with sample data with which you can practice and experiment. Found at these bookshops Searching — please wait We were unable to find this edition in any bookshop we are able to search. These 14 locations in All: Separate different tags with a comma.
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In he was involved in building artificially intelligent machine learning systems utilizing the pioneering technologies that are currently known as neural computing and associative memories. Principles and Techniques for Data Scientists. To give just a couple of examples: Chapter 10 describes issues that may remain in data sets after problems with individual variables have been corrected.
Showing of 15 reviews. Customers who bought this item also bought. Alexa Actionable Analytics for the Web. Examples were on minute datasets that need hardly any preparation; endless pages on describing basic facts on data; and no clear real-life examples that match the level of data mining encountered in industry. Check mininy the top books of the year on our page Best Books of Data preparation as a process 4.
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Thanks largely to its perceived difficulty, data preparation has traditionally taken a backseat to the more alluring question of how best to extract meaningful knowledge. But without adequate preparation of your data, the return on the resources "Data Preparation for Data Mining" addresses an issue unfortunately ignored by most authorities on data mining: data preparation. But without adequate preparation of your data, the return on the resources invested in mining is certain to be disappointing. Dorian Pyle corrects this imbalance. A twenty-five-year veteran of what has become the data mining industry, Pyle shares his own successful data preparation methodology, offering both a conceptual overview for managers and complete technical details for IT professionals. Apply his techniques and watch your mining efforts pay off-in the form of improved performance, reduced distortion, and more valuable results. Also included are demonstration versions of three commercial products that help with data preparation, along with sample data with which you can practice and experiment.
Data Preparation for Data Mining (The Morgan Kaufmann Series in Data Management Systems)
Data Preparation for Data Mining