Buku Data Mining: Implementasi Algoritma Apriori dan FP-Growth karya Lismardiana Sembiring, Drs. Thamrin, dan Wanra Tarigan menyajikan pembahasan teknis dan aplikatif mengenai penambangan data (data mining), khususnya dalam ekstraksi aturan asosiasi (association rules). Penulis membedah secara mendalam dua algoritma populer dalam pemrosesan himpunan data frekuensi tinggi (frequent itemsets), ya…
Buku ini merupakan literatur akademis dan teknis yang membahas konsep dasar, teori, serta implementasi praktis dari teknik penggalian data (data mining). Fokus utama literatur ini adalah membedah bagaimana informasi tersembunyi atau nilai tambah dapat diekstraksi dari pangkalan data (database) berskala besar melalui metode pengenalan pola.
Real-time, web-based, and interactive visualisations are proven to be outstanding methodologies and tools in numerous fields when knowledge in sophisticated data science and visualisation techniques is available. The rationale for this is because modern data science analytical approaches like machine/deep learning or artificial intelligence, as well as digital twinning, promise to give data ins…
This open access book offers a comprehensive and thorough introduction to almost all aspects of metalearning and automated machine learning (AutoML), covering the basic concepts and architecture, evaluation, datasets, hyperparameter optimization, ensembles and workflows, and also how this knowledge can be used to select, combine, compose, adapt and configure both algorithms and models to yield …
This open access book offers a comprehensive and thorough introduction to almost all aspects of metalearning and automated machine learning (AutoML), covering the basic concepts and architecture, evaluation, datasets, hyperparameter optimization, ensembles and workflows, and also how this knowledge can be used to select, combine, compose, adapt and configure both algorithms and models to yield …