Data-Mining Methods Applied to Livestock Management: Second Edition
A special issue of Animals (ISSN 2076-2615). This special issue belongs to the section "Animal System and Management".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 227
Special Issue Editors
Interests: biostatistics; animal science; prediction; cattle; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: biostatistics; animal science; prediction; cattle; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We would like to cordially invite you to share your ideas, achievements, and discoveries in this Special Issue of the The use of DM methods in this particular field is associated with the appearance of fast and capacious computers and the collection of large quantities of data on modern farms by different types of sensors. Many such methods have been developed to solve complex problems in animal breeding, e.g., artificial neural networks (ANN), decision trees, naïve Bayes classifier (NBC), support vector machines (SVM), k-means clustering, k-nearest neighbor algorithm, multivariate adaptive regression splines (MARS), etc. These methods, when applied to large data sets, often produce better results than classical statistical approaches. With the use of these methods, which practically do not have serious limitations, various problems can be resolved, although the lack of solutions and exciting results also provides important information for researchers involved in similar projects.
Prof. Dr. Wilhelm Grzesiak
Dr. Daniel Zaborski
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Animals is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- biostatistics
- animal science
- prediction
- cattle
- machine learning
- data mining
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
Related Special Issue
- Data-Mining Methods Applied to Livestock Management in Animals (4 articles)
