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The reason for our inability to describe and extrapolate the The vast majority of processes in our perceptible environment are not a result Topic, but we are putting forward the following thesis: Not go into the interesting yet nonetheless rather philosophical discussions on this The one scenario as coincidental and the other as non-coincidental. The most frequent explanation used by laymen in this case is the description of So how do we humans know what exactly will happen next in someĬases and in other cases, for example that of the toss of a coin, what will not? For example, the energy of the impact is transferred to the ground better For what its worth, the glass notīreaking would be just as non-coincidental, since this result also follows physical In individual cases, but this is not likely. Of course, the glass may stay intact by chance How are we able to achieve this ratherĪmazing feat? We have never seen the glass which is falling in this instant breakīefore and the physical formulas that describe the breakage of glass are a complete We even know in the fractions of the second when the glass Of the situation: A glass will break if it falls from a certain height onto a certain
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We shall now look at another scenario, only this time we can predict the outcome The physical formulas for this are all known in any case. Material properties of the coin and those of the ground, mass distributions andĮven the strength and direction of the wind were all known exactly, then we wouldīe quite able, with some time and effort, to predict the result of such a coin toss. If all influence factors such as the throwing speed and rotation angle, The fact that nobody can predict it does in no way mean that it is impossible in Side of the coin will be showing after it is tossed. the toss of a coin.Īh you may think, but that is a random event and nobody can predict which Is probably the simplest random event you could imagine, i.e. This question in the negative or even do so already. the sum of the numbers.ĭo you believe in coincidence? As an analyst you will probably learn to answer Work out the checksum of the result, i.e. Is worth reading in order for you to know and have a command of the terms usedīefore we get properly started, let us try a small experiment: Whether you are already an experienced data mining expert or not, this chapter In this chapter we would like to give you a small incentive for using data miningĪnd at the same time also give you an introduction to the most important terms. 106ĥ.3.1 Propagating Meta Data from the Repository and through 100ĥ.2.3 Access to and Administration of the Repository.
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99ĥ.2.2 Importing Data and Objects into the Repository. 99ĥ.2.1 Processes and Relative Repository Descriptions. 31Ģ.3.4 Further Options of the Process View. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by means electronic, mechanical, photocopying, or otherwise, without prior written permission of RapidMiner.ġ.1 Coincidence or not?.