Efficient online stream clustering based on fast peeling of boundary micro-cluster
A growing number of applications generate streaming data, making data stream mining a
popular research topic. Classification-based streaming algorithms require pre-training on …
popular research topic. Classification-based streaming algorithms require pre-training on …
An efficient ensemble-based Machine Learning for breast cancer detection
Breast cancer is a very severe type of cancer that often develops in breast cells. Attempting
to develop an effective predictive model for breast cancer prognosis prediction is urgently …
to develop an effective predictive model for breast cancer prognosis prediction is urgently …
Improved individualized patient-oriented depth-of-hypnosis measurement based on bispectral index
Total intravenous anesthesia is an anesthesiologic technique where all substances are
injected intravenously. The main task of the anesthesiologist is to assess the depth of …
injected intravenously. The main task of the anesthesiologist is to assess the depth of …
A multivariate approach for fuzzy prediction interval design and its application for a climatization system forecasting
The existing uncertainties present during the operation of dynamic processes could affect
the performance of modeling systems, control strategies, and fault detection systems …
the performance of modeling systems, control strategies, and fault detection systems …
eFedGauss: A Federated Approach to Fuzzy Multivariate Gaussian Clustering
In this paper, we present a novel federated soft clustering method for unsupervised
clustering of data and classification, termed Evolving Federated Gaussian clustering …
clustering of data and classification, termed Evolving Federated Gaussian clustering …
Proof of Accuracy-Transparency Trade-Off in Takagi-Sugeno Model and its Implications
G Černe, I Škrjanc - 2023 IEEE International Conference on …, 2023 - ieeexplore.ieee.org
In the literature, Takagi-Sugeno (TS) models are highly-regarded for their accuracy and
interpretability. However, several studies have observed the phenomenon of an accuracy …
interpretability. However, several studies have observed the phenomenon of an accuracy …
Identifying Indonesian Sentences Containing Idiomatic Expression Using the BERT Model
AE Karyawati, NMY Cahyani - First International Conference on …, 2024 - books.google.com
Idiomatic expressions are expressions that consist of a series of two or more words that have
a meaning that cannot be predicted from the meaning of the individual words that compose …
a meaning that cannot be predicted from the meaning of the individual words that compose …
Interval Kernel Fuzzy C-Means-Particle Swarm Optimizer with Two Differential Mutations (IKFCM-PSOTD) for Incomplete Data Clustering
M Ilyas, S Anam, T Trisilowati - First International Conference on …, 2024 - atlantis-press.com
Data processing and optimization are two major challenges in data analysis such as
clustering. In practice, data often contains missing values that must be handled …
clustering. In practice, data often contains missing values that must be handled …
Implementasi Text Mining dalam Perbaikan Kualitas Restoran berdasarkan Ulasan Pelanggan
E Sabri, K Vieri - 2023 - dspace.uii.ac.id
Yogyakarta merupakan kota yang dikenal dengan berbagai kuliner khasnya. Salah satu
restoran yang terkenal dalam menyajikan masakan khas daerah yaitu restoran Gudeg Yu …
restoran yang terkenal dalam menyajikan masakan khas daerah yaitu restoran Gudeg Yu …
[PDF][PDF] Using the Latest Methods of Cluster Analysis to Identify Similar Profiles in Leading Social Networks.
B Zhurakovskyi, I Averichev, I Shakhmatov - IT&I Workshops, 2023 - ceur-ws.org
In the modern world, social networks are not only a showcase of individuality but also reflect
the unique aspects of a user's personality. In light of this, networks accumulate colossal …
the unique aspects of a user's personality. In light of this, networks accumulate colossal …