EBOOK JANGAN KULIAH KALAU GAK SUKSES

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Ebook Jangan Kuliah Kalau Gak Sukses

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Data Mining and Computational Intelligence. Advances in Knowledge Discovery and Data Mining.

Newton, Idea Group Publishing, , 49 : Data mining is a process concerned with uncovering patterns, associations, anomalies and statistically significant structures in data Fayyad et al. It typically refers to the case where the data is too large or too complex to allow either a manual analysis or analysis by means of simple queries. Data mining consists of two main steps, data pre-processing, during which relevant high-level features or attributes are extracted from the low level data, and pattern recognition, in which a pattern in the data is recognized using these features.

Newton, Idea Group Publishing, , 50 : While there is some debate about the exact definition of data mining Kamath, , most practitioners and proponents agree that data mining is a multidisciplinary field, borrowing ideas from machine learning and artificial intelligence, statistics, high performance computing, signal and image processing, mathematical optimization, pattern recognition, etc.

Over the past decade this area has become significant both in academia and in industry. Wavelet theory could naturally play an important role in Data Mining because wavelets could provide data presentations that enable efficient and accurate mining process and they can also could be incorporated at the kernel for many algorithms.

There are many Data Mining methods which accomplishing a limited set of tasks produces a particular enumeration of patterns over data sets. The main tasks of Data Mining which have already been discussed in previous sections are: i Clustering, ii Classification, iii Association Rule Extraction, iv Time Series, v Regression, and vi Summarization.

It is an interdisciplinary field of study that has its roots in databases, statistics, machine learning, and data visualization.

Data mining has emerged as a direct outcome of the data explosion that resulted from the success in database and data warehousing technologies over the past two decades Fayyad, ,Fayyad, ,Kantardzic, Organizational Data Mining, Hamid R. Nemati and Christopher D. Troutt and Lori K. It is not a set of descriptive statistics.

The process benefits from the availability of large amount of data with rich description. It is a powerful technology that converts data into information and potentially actionable knowledge. However, one of the most difficult problems in data mining is to concretely define the classes of patterns that may be of interest. Belajar itu harus duduk manis dan pakai meja. Kata siapa? Berprestasi itu harus ditandai dengan riuh tepuk tangan dan sederetan piagam penghargaan.

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Teuku Wisnu, Artis?

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Setiap orang memiliki pola suksesnya masing-masing. Silahkan agan-agan atau sista sista yang mau terjun ke bisnis ini. To summarize the foregoing definitions, data mining is a process of obtaining knowledge.

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