Doctor concluded related to an indication that someone has the potential against diabetes mellitus (DM) the architecture of the proposed method is designed. With the data obtained from the authorities in the laboratory, the model has been adjusted. Split points and using the Gina index the best split points are identified in this paper. By identifying false split points to minimize the calculat...

The effective application of a data mining process is littered with many difficult and technical decisions (i.e. data cleansing, feature transformations, algorithms, parameters, evaluation). Subsequently, most data mining products provide a large number of models and tools, but few provide intelligent assistance for addressing the above-mentioned challenges that face the non-specialist data min...

The algebra of Communicating Sequential Processes provides a facility to formal specify systems by describing their behavior. To be able do denote these systems more precisely it is useful to introduce state variables. Because the CSP algebra deals with concurrent processes, the state variables are shared between those processes. This contribution describes techniques how to represent shared va...

The increasing number and variety of diseases suffered by the community due to lifestyle changes that are influenced progress times. Periodic disease data collection will increase accumulation data. This is often an error in search process so it takes a long time study focuses on hypertension aims cluster method used this CRISP-DM with business understanding process, understanding, preparation,...

Objetivo. Este artículo muestra el diseño y entrenamiento de una red neuronal artificial (RNA) para predecir resultados académicos estudiantes Ingeniería Civil la Universidad Nacional Intercultural Fabiola Salazar Leguía Bagua-Perú en asignatura Matemática II. Método. Se utilizó metodología CRISP-DM, recolectar los datos se emplearon encuestas, modelo RNA implementó software Matlab utilizando c...

Tujuan dari penelitian ini adalah untuk mengenali pola pendapatan dan karakteristik pekerja informal dengan lebih baik menggunakan clusterisasi Algoritma K-Means sehingga pemerintah dapat mengarahkan sumber daya program tepat sasaran. Dalam ini, Indeks Davies Bouldin (DBI) akan digunakan sebagai metode mengoptimalkan jumlah cluster dalam proses pengelompokkan wilayah Kabupaten/Kota di Jawa Bara...

Indonesia merupakan negara tropis yang mempunyai curah hujan tinggi. Curah tinggi dapat mengakibatkan efek samping berupa banjir. Untuk menanggulangi hal tersebut, perlu dilakukan prediksi cuaca akurat. Penelitian ini bertujuan untuk menyelesaikan masalah tersebut dengan mengklasifikasikan kategori sedang dan lebat menggunakan metode data mining CRISP-DM. Algoritma digunakan klasifikasi adalah ...

Nos processos de atenção domiciliar, onde pacientes são cuidados em casa por equipes saúde multidisciplinares, diversos os desafios para o gerenciamento e monitoramento à distância, não sendo raros casos que recursos empregados nas situações realmente prioritárias. O advento da tecnologia, a disponibilidade dados nos sistemas gestão bem como as novas ferramentas suporte tomada decisão trazem en...

Social enterprises are critical players in economic growth and service delivery. This article presents a tool that helps to identify the aspects affect sustainability of social enterprises. The is based on framework identifies high-growth factors uses CRISP-DM (Cross-industry standard process for data mining) methodology mutual information analysis develop practical support enterprises’ viabili...