INTEGRASI ALGORITMA POHON KEPUTUSAN C4.5 YANG DIKEMBANGKAN KE DALAM OBJECT-RELATIONAL DBMS
DOI:
https://doi.org/10.12962/j24068535.v6i2.a186Abstract
Integrasi teknik-teknik data mining ke dalam DBMS, khususnya Object-Relational DBMS (ORDBMS), masih merupakan bidang penelitian yang aktif. Isu utama pada integrasi ini adalah: peleburan algoritma data mining ke dalam ORDBMS dengan memanfaatkan fitur-fiturnya untuk memperbaiki kualitas teknik tersebut. Pada penelitian ini, algoritma klasifikasi C4.5 dikembangkan dengan pendekatan aljabar relasional dan diintegrasikan ke dalam ORDBMS sebagai prosedur-prosedur tersimpan Java dan berbasis SQL, dengan tujuan untuk meningkatkan skalabilitas dan efisiensinya. Hasil eksperimen menunjukkan bahwa algoritma yang sudah diintegrasikan berhasil memperbaiki skalabilitas dan pada kasus khusus juga memperbaiki efisiensi.
Kata kunci: pengembangan algoritma C.5, integrasi C4.5 ke dalam Object-Relational DBMS, algoritma C4.5, perbaikan skalabilitas C4.5.
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