data warehouse data mining


data warhouse : sekumpulan data yang sudah tidak memiliki nilai operasional

– ga perlu primary key dan struktur pada data pada umumnya.
– pengelompokan tertentu (subject oriented)

fungsi :
– untuk keperluan data mining
– data prosesing yang berjalan dan berguna untuk dss yang bersifat
dalam, diatas (beyond) dan lebih specifik dari pada data pada umumnya.

++
|dss|    —> datamining.
| mcs |
|  tps   |
+——+

——————————————–

data mining vs data prosessing.

immon’s :

A data warehouse is
-subject-oriented,
-integrated,
-time-variant,
-nonvolatile
collection of data in support of management’s
decision making process.

—————–

data warehousing is defined as a process of centralized data management and retrieval – anderson

—————–

penggunaan data warehouse :

Three kinds of data warehouse applications :

  • Information processing

supports querying, basic statistical analysis, and reporting using crosstabs, tables, charts and graphs

  • Analytical processing

multidimensional analysis of data warehouse data
supports basic OLAP operations, slice-dice, drilling, pivoting

  • Data mining

knowledge discovery from hidden patterns
supports associations, constructing analytical models, performing classification and prediction, and presenting the mining results using visualization tools.

—————————————————

data mining

Data mining is a popular technique in searching for interesting and unusual patterns in data, has also been enabled by the construction of data warehouses, and there are claims of enhanced sales through exploitation of patterns discovered in this way.

4 thoughts on “data warehouse data mining

  1. mas, saya kan sudah tau bagaimana caranya clustering. tapi saya bingung, clustering bisa diterapkan untuk permasalahan apa saja yah??? tolong dong penjelasannya mas. kalo di bidang pendidikan misalnya sekolah, bisa engge menerapkan konsep clustering???

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