Results 31 to 40 of about 3,836,064 (302)

A Method to Handle the Missing Values in Multi-Criteria Sorting Problems Based on Dominance Rough Sets

Mathematics
The handling of missing attribute values remains a challenging and problematic issue in data analysis. Imputation techniques are key procedures used to deal with missing attribute values.
Ahmet Topal, Nilgun Guler Bayazit, Yasemen Ucan   +2 more
doaj   +1 more source

Metric Based Attribute Reduction Method in Dynamic Decision Tables

Cybernetics and Information Technologies, 2016
Feature selection is a vital problem which needs to be effectively solved in knowledge discovery in databases and pattern recognition due to two basic reasons: minimizing costs and accurately classifying data.
Janos Demetrovics, Huong Nguyen Thi Lan, Thi Vu Duc, Giang Nguyen Long   +3 more
doaj   +1 more source

New Classification Method for Independent Data Sources Using Pawlak Conflict Model and Decision Trees

Entropy, 2022
The research concerns data collected in independent sets—more specifically, in local decision tables. A possible approach to managing these data is to build local classifiers based on each table individually.
Małgorzata Przybyła-Kasperek, Katarzyna Kusztal   +1 more
doaj   +1 more source

Solid Pseudopapillary Neoplasm of the Pancreas in Children and Adolescents: Expert Recommendations

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Solid pseudopapillary neoplasm of the pancreas (SPN) is a rare low‐grade malignant exocrine pancreatic tumor, mostly discovered during the second decade of life in females, with a very good prognosis, provided microscopically complete surgical excision is achieved.
Sabine Irtan, Michael Abele, Calogero Virgone, Michaela Kuhlen, Ricardo Lopez‐Almarez, Tal Ben‐Ami, Ewa Bien, Maja Cesen, Malgorzata A. Krawczyk, Andrea Ferrari, Gianni Bisogno, Yves Reguerre, Dominik T. Schneider, Louise Galmiche, Jorg Fuchs, Sarah Braungart, Bilgehan Yalcin, Ines B. Brecht, Daniel Orbach   +18 more
wiley   +1 more source

conting : an R package for Bayesian analysis of complete and incomplete contingency tables [PDF]

, 2014
The aim of this paper is to demonstrate the R package conting for the Bayesian analysis of complete and incomplete contingency tables using hierarchical log-linear models.
Ruth King, Overstall, Antony, Antony M. Overstall, King, Ruth, Antony M. Overstall, Overstall, Antony M.   +5 more
core   +1 more source

Ovarian Sex Cord Stromal Tumors in Children and Adolescents—The European Standard Clinical Practice Recommendations

Pediatric Blood &Cancer, EarlyView.
ABSTRACT As part of the European Cooperative Study Group for Paediatric Rare Tumours initiative, we developed standard clinical practice guidelines for ovarian sex cord stromal tumors, based on comprehensive national and international cohort analyses, literature review, and a final expert consensus conference.
Dominik T. Schneider, Kris‐Ann Schultz, Nora Schnitzler, Michael Abele, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Ines B. Brecht, Maja Cesen, Andrea Ferrari, Michaela Kuhlen, Malgorzata A. Krawczyk, Ricardo Lopez‐Almaraz, Yves Reguerre, Calogero Virgone, Daniel Orbach   +15 more
wiley   +1 more source

Tables

, 2019
Tables of the ...
Ricardo Valls (4952224)
core   +1 more source

Acute Neurological Events in Children With Hemoglobin SC Disease: A Multicenter Retrospective Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Neurological manifestations in children with hemoglobin SC (HbSC) disease remain insufficiently characterized, particularly regarding acute events. The aim of this study was to describe the spectrum and frequency of acute neurological events in a multicenter cohort of children with HbSC disease.
Célia Paulmin, Bérengère Koehl, Audrey Maudoux, Hanine Mansour, Marie‐Hélène Odievre, Nathalie Garrec, Emilie Georget, Cécile Arnaud, Slimane Allali, Lydia Doumdo, Marie Belloy, Corinne Guitton   +11 more
wiley   +1 more source

Qualitatively Coherent Representation Makes Decision-Making Easier with Binary-Colored Multi-Attribute Tables: An Eye-Tracking Study

Frontiers in Psychology, 2017
We aimed to identify the ways in which coloring cells affected decision-making in the context of binary-colored multi-attribute tables, using eye movement data.
Masahiro Morii, Takashi Ideno, Takashi Ideno, Kazuhisa Takemura, Mitsuhiro Okada, Mitsuhiro Okada   +5 more
doaj   +1 more source

Feature Selection for Multi-Label Learning Based on F-Neighborhood Rough Sets

IEEE Access, 2020
Multi-label learning is often applied to handle complex decision tasks, and feature selection is its essential part. The relation of labels is always ignored or not enough to consider for both multi-label learning and its feature selection.
Zhixuan Deng, Zhonglong Zheng, Dayong Deng, Tianxiang Wang, Yiran He, Dawei Zhang   +5 more
doaj   +1 more source