Predicting, simulating, and where possible controlling such systems are simply missing increasingly,īecause we only have insufficient knowledge to follow theoretical modeling approaches.Ī more powerful and easy-to-use tool that fills this knowledge gap is inductive self-organizing modeling as implemented in Insights.
There are a lot of complex problems, which do need decision-making, but the means - the models - for understanding, Implicit within the system without or with only little knowledge of the physical processes or mechanisms involved. In contrast, inductive models obtained by knowledge mining are derived from real physical data and represent the relationships Environmental, medical and socio-economic Systems analysis or common statistical methods since there is incomplete knowledge of the processes involved. There are many cases in practice where it is impossible to create analytical models using classical theoretical To differentiate which are the causes and which are the effects. Real-world systems in which system variables are dynamically related to many others, and where it is usually difficult We most often do not understand the consequences of any actions, the dynamics involved and the inter-dependencies of Uncertainty and vagueness, coupled with rapid developments radically affect humanity. The world around us is getting more complex, more interdependent, more connected and global. Control the objects by finding suitable means to effect the objects and enforce a specific behaviour.Simulate the objects' behaviour by experiment with models, and thus answer "what-if" questions essential to decision-making,.Predict the respective objects can expect over a finite future time span, but also to experiment with models.Įxactly the ability to make predictions about the future forms the core of intelligence at all.Hand by deriving an analytical relationship between them, This leads to a deeper understanding of the problem at Identify the relationships between cause and effect.It is worth building models to aid decision making, because models make it possible to: Information about a real system and its behaviour is called a model and they form the basis for any decision. Humans have for centuries been seeking proxies for real processes. Solutions and getting insights into many real-world processes. It can be very helpful, valuable, and even sometimes an unavoidable tool for finding Is much more than this and can be much more useful in various problem fields. However, Data Mining or better its next generation, Knowledge Mining, People for different purposes by an increasing number of companies, governments and public services. Today, Data Mining is mostly recognized as the process of collecting and analyzing amounts of personal data of customers and
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