Arah tuju dan konsep perlombongan data

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Arah tuju dan konsep perlombongan data

• Siti Norul Huda Sheikh Abdullah

Seminar Perlombongan Data 1 Oktober 2002 Hotel
Equatorial, Bangi
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8.45 minum pagi 10.00-10.15 arh 10.15-10.45
snsha 10.45-11.15 norlailanie nn 11.15-11.45
amzari ga rehat 11.45-12.15 arhusain evolusi
12.15-12.45 noranisah rs 12.30
rehat   1415-1445 mzm overview method
classification 1445-1515 sharizan- kbr 1515-1545
perbincangan Break 1545-1615 break petang     
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Pengenalan

• Tujuan
• Takrifan perlombongan data
• Perkembangan perlombongan data sehingga kini
• Permasalahan
• Arah tuju penyelidikan

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Proses perlombongan data
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Visualisasi
Perlombongan Data
Transformasi Reduksi
Corak / model
Pemprosesan pembersihan
Data terjelma
Rahsia Kesan Jangkaan Tindakan
Pensampelan Pemilihan
Data bersih
Data sasaran
Berpandukan Fayad 1996
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Takrifan Perlombongan Data

• Grabmeier et al 2001
• ..is the notion of all methods and techniques,
  which allow to analyse very large data sets to
  extract and discover previously unknown
  structures and relations out of such huge heaps
  of details. These information is filtered,
  prepared and classified so that it will be a
  valuable aid for decisions and strategies.
• Witten 2000
• Data mining is about solving problems by
  analyzing data already present in databases
• Fayad et al 1994
• KDD means a nontrivial process of identifying
  valid, novel, potentially, useful, and ultimately
  understandable patterns in data.

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Perkembangan terkini

• Perlombongan bertempoh
• Perlombongan data dan visualisasi 3D
• Alkhawarizmi Gugusan (Cluster Algorithm)
• Teknik Dikretasi
• WEKA garam galian

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Paradigma dan Metod dalam Penerokaan Pengetahuan
Bertempoh

• Jenis data bertempoh
• Statik
• Jujukan (sequence)
• Timestamped
• Bertempoh sepenuhnya (fully temporal)

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Taksonomi konsep perlombongan bertempoholeh
Roddick et al 2002
Roddick, J.F., Spiliopoulou, M. A Survey of
Temporal Knowledge Discovery Paradigms and
Methods. IEEE Transactions on Knowledge
Management And Data Engineering. Vol 14. No 4,
July/August 2002.
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Contoh petua-petua bertempoh

• A drop in atmospheric pressure precedes rainfall
  in 60 of cases.
• The sequence Committee ?Board ? Council occurs
  approximately every month.
• Marital status is becoming less of a determinant
  of voting behaviour.
• Beachside flooding only occurs during spring high
  tides.
• There is a higher incidence of earthquakes during
  and soon after periods of higher atmospheric
  pressure.
• Some patients tend to develop reactions after
  two months with this combination of drugs.
• The introduction of Euro caused a different
  pattern of buying behaviour in offshore markets.

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Perlombongan data dan visualisasi 3D

• Khasnya untuk data saintifik seperti,
• pengkelasan protein
• Bank data protein
• Kompoun gugusan (clustering compound)
• Khas untuk kompoun kimia
• Teknik
• Geometric Hashing

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a. A 3D proteinb. 3 Substructures of the
protein in (a)
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Alkhawarizmi Gugusan
Grabmeier, J., Rudolph, A. 2002. Techniques of
cluster Algorithms in Data Mining. Data Mining
and Knowledge Discovery. Vol 6 Pg 340.
Netherlands Kluwer Academic Publishers.
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Proses Dikretasi
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Teknik Diskretasi
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WEKA

• Mari kita lihat programnya
• WEKA

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Kesimpulan

• Menghasilkan satu alatan perlombongan data yang
  boleh digunakan oleh pelbagai pihak
• Mengumpulkan pelbagai teknik dalam satu alatan
  dan akan dikemaskini secara berperingkat.
• Memberi khidmat kepada mereka yang memerlukan
  mungkin secara percuma.

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Semoga kita berjaya !

• InsyaAllah