Classification in data mining involves classifying a set of data instances into predefined classes. Learn more about its types and features with this blog.
We have made a careful selection of clinical data from various domains in order to identify the performance of the data mining algorithms on different types of clinical datasets. Our research work incorporates the design of a data mining framework that generates an efficient classifier that is ...
Output system of regularities is formed with the help of statistical validity estimates by two types of permutation tests. One of the problems associated with OVP procedure is great number of regularities in output system in high-dimensional tasks. The new approach for output system structure ...
Probabilistic learning: Calculate explicit probabilities for hypothesis, among the most practical approaches to certain types of learning problems Incremental: Each training example can incrementally increase/decrease the probability that a hypothesis is correct. Prior knowledge can be combined with observed ...
The aim of our study is to show how improving the representation of textual data affects the performance of learning algorithms. We will first introduce our method GenDesc. It generalises less relevant words for tweet classi- fication. Secondly we compare and discuss the types of textual ...
COMBINING HIGH SPATIAL RESOLUTION OPTICAL AND LIDAR DATA FOR OBJECT-BASED IMAGE CLASSIFICATION In detail, firstly, the FBSP optimizer(Fuzzy-based Segmentation Parameter) is used to obtain the optimal scale parameters for different land cover types. Then, using the segmented regions as basic units, th...
The information entered is not validated by any authority, and, in cases with open taxonomies, the category set can be random. However, there are advantages with this group—the database is often more comprehensive in terms of number and types of POIs. Additionally, this group can have a ...
reported another specific pattern of chromosomal rearrangements in prostate tumors called Chromoplexy, which is characterized by a closed chain of translocations involving several chromosomes3. Recently, the PCAWG Consortium collected whole genome sequencing data from 2392 tumors across 36 cancer types, ...
Emerging Patterns and Classification for Spatial and Image Data We have proposed new types of patterns that may be used to build accurate classifiers for multimedia data. The presented results show that the proposed methods may achieve equal or better performance than well-known tree-based C4.5 alg...
When the development of a model is involved, which is common in OR papers, some authors like to highlight this, especially if this is crucial to their research. With this in mind, we define the second top-level category“MODELING TECHNIQUE”. This category encompasses the quantitative technique...