# Data Analysis for Information Discovery
## 3 Database Description  
All the experiments carried out in this work have used public databases downloaded from [7]. This repository contains a large number of datasets. In this work, all the experiments have been carried out on ten datasets. These datasets are very different among them in many aspects: number of features, number of instances, semantic content, etc. This choice improves the generalizability of the obtained results.  
In particular, the used databases are:  
1. Gender Gap in Spanish WP Dataset [28]: Dataset used to estimate the number of women editors and their editing practices in the Spanish Wikipedia. It is composed of 21 attributes and 4746 instances;
2. TUANDROMD (Tezpur University Android Malware Dataset) Dataset [29]: This dataset contains 4465 instances and 241 attributes. The target attribute for classification is a category (malware vs. goodware);
3. Room Occupancy Estimation Dataset [30]: this dataset contains 10,129 instances and 16 attributes, and it is used to estimate the occupation level of a room. The setup consisted of seven sensor nodes and one edge node in a star configuration with the sensor nodes transmitting data to the edge every 30 s using wireless transceivers. Each sensor node contained various sensors such as temperature, light, sound, CO\({}_{2}\), and digital passive infrared (PIR);
4. Myocardial Infarction Complications Dataset [31]: This dataset contains 1700 instances and 124 attributes. The main application of this database is to predict complications of myocardial infarction based on information about the patient at the time of admission and on the third day of the hospital period;
5. Wine Dataset [7]: This dataset is used to recognize a specific wine using the concentration of 13 chemical parameters. It is composed of 13 features and 178 instances;
6. Dry Bean Dataset [32]: This dataset contains 16 visual features extracted from 13,611 images of grains of 7 different dry beans. The used visual features are in 12 dimensions and 4 shape forms;
7. APS Failure at Scania Trucks Dataset [7]: This dataset contains 60,000 instances and 171 features. The dataset consists of data collected from heavy Scania trucks in everyday usage. The system in focus is the air pressure system (APS), which generates pressurized air that is utilized in various functions in the truck, such as braking and gear changes;
8. Multiple Features Dataset [7]: This dataset consists of the features of handwritten numerals ('0'-'9') extracted from a collection of Dutch utility maps. It is composed of 649 features and 2000 instances;
9. Relative Location of CT Slices on Axial Axis Dataset [7]: This dataset consists of 384 features extracted from 53,500 CT images. The class variable is numeric and denotes the relative location of the CT slice on the axial axis of the human body;
10. Mice Protein Expression Dataset [33]: This dataset contains 1080 instances and 82 features. The dataset consists of the expression levels of 77 proteins/protein modifications that produced detectable signals in the nuclear fraction of the cortex.  
In all the experiments, for each database, only the numerical features have been considered.