How Long to Read Evolutionary Computation in Data Mining

How Long Does it Take to Read Evolutionary Computation in Data Mining?

It takes the average reader 4 hours and 49 minutes to read Evolutionary Computation in Data Mining by Ashish Ghosh

Assuming a reading speed of 250 words per minute. Learn more

Description

Data mining (DM) consists of extracting interesting knowledge from re- world, large & complex data sets; and is the core step of a broader process, called the knowledge discovery from databases (KDD) process. In addition to the DM step, which actually extracts knowledge from data, the KDD process includes several preprocessing (or data preparation) and post-processing (or knowledge refinement) steps. The goal of data preprocessing methods is to transform the data to facilitate the application of a (or several) given DM algorithm(s), whereas the goal of knowledge refinement methods is to validate and refine discovered knowledge. Ideally, discovered knowledge should be not only accurate, but also comprehensible and interesting to the user. The total process is highly computation intensive. The idea of automatically discovering knowledge from databases is a very attractive and challenging task, both for academia and for industry. Hence, there has been a growing interest in data mining in several AI-related areas, including evolutionary algorithms (EAs). The main motivation for applying EAs to KDD tasks is that they are robust and adaptive search methods, which perform a global search in the space of candidate solutions (for instance, rules or another form of knowledge representation).

How long is Evolutionary Computation in Data Mining?

Evolutionary Computation in Data Mining by Ashish Ghosh is 279 pages long, and a total of 72,261 words.

This makes it 94% the length of the average book. It also has 88% more words than the average book.

How Long Does it Take to Read Evolutionary Computation in Data Mining Aloud?

The average oral reading speed is 183 words per minute. This means it takes 6 hours and 34 minutes to read Evolutionary Computation in Data Mining aloud.

What Reading Level is Evolutionary Computation in Data Mining?

Evolutionary Computation in Data Mining is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Evolutionary Computation in Data Mining?

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