Data mining & Data Warehousing

Engineering Wale Baba

Iqukethe izikhangiso

Mayelana nalolu hlelo lokusebenza

Uhlelo lokusebenza luyincwadi yamahhala ephelele ye-Data mining & Data Warehousing ehlanganisa izihloko ezibalulekile, amanothi, izinto zokufunda.

Lolu hlelo lokusebenza lwezimayini Lwedatha Nokugcinwa Kwedatha libala izihloko ezingama-200 ezinamanothi anemininingwane, imidwebo, izibalo, amafomula nezinto zezifundo, izihloko zibhalwe ezahlukweni ezi-5. Uhlelo lokusebenza kumele lube nalo kubo bonke abafundi bekhompyutha yesayensi nobunjiniyela.

Uhlelo Lokusebenza luklanyelwe ukufunda okusheshayo, ukubuyekezwa, izinkomba ngesikhathi sokuhlolwa kanye nezingxoxo.

Lolu hlelo lokusebenza luhlanganisa izihloko eziningi ezihlobene kanye nencazelo enemininingwane nazo zonke izihloko eziyisisekelo.

Ezinye zezihloko Ezihlanganiswe kuhlelo lokusebenza lokugcina idatha kanye nokumbiwa kwedatha yilezi:

1. Isingeniso sokumbiwa kwedatha
2. Idatha Architecture
3. Ama-Data-Warehouse (DW)
4. Imininingo egciniwe yobudlelwano
5. Imininingo egciniwe yokwenziwayo
6. Idatha Ethuthukisiwe Nezinhlelo Zolwazi kanye Nezicelo Ezithuthukile
7. Imisebenzi yokumbiwa kwedatha
8. Ukuhlelwa Kwezinhlelo Zezimayini Zedatha
9. I-Data Mining Task Primitives
10. Ukudidiyelwa Kohlelo Lwezimayini Lwedatha Nohlelo Lokugcinwa Kwedatha
11. Izinkinga Ezinkulu Ekumbiweni Kwedatha
12. Izinkinga zokusebenza Emayini Yedatha
13. Isingeniso Senqubo Yedatha
14. Ukufingqwa Kwedatha Okuchazayo
15. Ukulinganisa Ukusatshalaliswa Kwedatha
16. Ukuboniswa Kwezithombe Kwezifinyezo Zedatha Echazayo Eyisisekelo
17. Ukuhlanza Idatha
18. Idatha Enomsindo
19. Inqubo Yokuhlanza Idatha
20. Ukuhlanganiswa Kwedatha kanye Nokuguqulwa
21. Ukuguqulwa Kwedatha
22. Ukuncishiswa Kwedatha
23. Ukuncishiswa kobukhulu
24. Ukunciphisa Ubuningi
25. Ukuhlanganisa kanye Nokusampula
26. Ukuhlukaniswa Kwedatha kanye Nesizukulwane Sokubusa Komqondo
27. Isizukulwane Sokulandelana Komqondo Wedatha Yezigaba
28. Isingeniso Ezinqolobaneni Zedatha
29. Umehluko phakathi Kwezinhlelo Zesizindalwazi Esisebenzayo kanye Nezindawo Zokugcinwa Kwedatha
30. A Multidimensional Data Model
31. Imodeli Yedatha Enkulu
32. Data Warehouse Architecture
33. Inqubo yokuklama i-Data Warehouse
34. I-Architecture Yenqolobane Yedatha Yezigaba Ezintathu
35. Amathuluzi Nezinsiza Zokugcina Impahla Yedatha
36. Izinhlobo zamaseva we-OLAP: I-ROLAP iqhathaniswa ne-MOLAP iqhathaniswa ne-HOLAP
37. Ukusetshenziswa Kwenqolobane Yedatha
38. Ukugcinwa Kwedatha Ukuya Emayini Yedatha
39. Ukucutshungulwa Kokuhlaziya Ku-inthanethi kuya Kwezimayini Zokuhlaziya Eziku-inthanethi
40. Izindlela ze-Data Cube Computation
41. I-Multiway Array Aggregation ye-Full Cube Computation
42. I-Star-Cubing: Ukusebenzisa i-Iceberg Cubes Kusetshenziswa Isakhiwo Sesihlahla Senkanyezi Esinamandla
43. Izingcezwana ze-Shell ezenziwe ngekhompyutha ze-OLAP Esheshayo EnoDimensional
44. Ukuhlola Okuqhutshwayo Kwamakhiyubhu Wedatha
45. Ukuhlanganisa Okuyinkimbinkimbi Ekubumbeni Okuningi: Amakhiyubhu anezici eziningi
46. ​​Ukungeniswa Okugxile Kwimfanelo
47. Ukwethulwa Okugxile Esibaluleni Kokulinganiswa Kwedatha
48. Ukuqaliswa Okuphumelelayo Kokwethulwa Okugxile Kumfanelo
49. Ukuqhathaniswa Kwamakilasi Ezimayini: Ukubandlulula Phakathi Kwamakilasi Ahlukene
50. Amaphethini avamile
51. I-Apriori Algorithm
52. Izindlela zokumba izimayini ezisebenza kahle nezikalekayo

Zonke izihloko azikho ohlwini ngenxa yokulinganiselwa kwabalingiswa.

Izici :
* Izihloko ezihlakaniphile zeSahluko eziphelele
* I-Rich UI Isakhiwo
* Imodi yokufunda enethezekile
* Izihloko Ezibalulekile Zokuhlolwa
* I-interface yomsebenzisi elula kakhulu
* Mboza Iningi Lezihloko
* Ukuchofoza okukodwa thola okuhlobene Yonke Incwadi
* Okuqukethwe Kweselula Okulungiselelwe
* Izithombe Ezilungiselelwe Ngeselula

Lolu hlelo lokusebenza luzosiza ekubhekiseni ngokushesha. Ukubuyekezwa kwayo yonke imiqondo kungaqedwa phakathi namahora amaningana kusetshenziswa lolu hlelo lokusebenza.

Ukumbiwa kwedatha Nokugcinwa Kwedatha kuyingxenye yesayensi yekhompiyutha, ubunjiniyela besofthiwe, i-AI, isifundo sokufunda ngomshini kanye nesifundo semfundo ye-Statistical Computing kanye nobuchwepheshe bolwazi nezinhlelo zeziqu zokuphatha ibhizinisi emanyuvesi ahlukahlukene.

Esikhundleni sokusinika isilinganiso esiphansi, sicela usithumelele imibuzo yakho, izinkinga futhi usinikeze Izilinganiso Neziphakamiso ezibalulekile Ukuze sikucabangele Ukuze uthole Izibuyekezo Ezizayo. Sizokujabulela ukukuxazululela zona.