UCI Datasets: "Air quality" and "US Census (1990)"

Two preprocessed datasets collected from the UCI repository that can be used for the purpose of structure learning from multivariate data of different types. Air Quality This dataset represents hourly averaged measurements of 5 metal oxide chemical sensors embedded in an air quality chemical multisensor device. The certified analyzer was located on the field in a significantly polluted area, at road level, within an Italian city. Data were recorded from March 2004 to February 2005 (one year), representing the longest freely available recordings of on-field deployed air quality chemical sensor device responses [1]. More information about the attributes and their type can be found in airqualitydataset_description.html. Size of dataset: 9358Number of Features: 16Type of data: discrete and continuousGround Truth: No Contains the responses of a gas multisensor device deployed on the field in an Italian city. Hourly responses averages are recorded along with gas concentrations references from a certified analyzer. There are 15 attributes. Date and Time as well as discrete and real covariates. 0 Date (DD/MM/YYYY)1 Time (HH.MM.SS)2 True hourly averaged concentration CO in mg/m^3 (reference analyzer)3 PT08.S1 (tin oxide) hourly averaged sensor response (nominally CO targeted)4 True hourly averaged overall Non Metanic HydroCarbons concentration in microg/m^3 (reference analyzer)5 True hourly averaged Benzene concentration in microg/m^3 (reference analyzer)6 PT08.S2 (titania) hourly averaged sensor response (nominally NMHC targeted)7 True hourly averaged NOx concentration in ppb (reference analyzer)8 PT08.S3 (tungsten oxide) hourly averaged sensor response (nominally NOx targeted)9 True hourly averaged NO2 concentration in microg/m^3 (reference analyzer)10 PT08.S4 (tungsten oxide) hourly averaged sensor response (nominally NO2 targeted)11 PT08.S5 (indium oxide) hourly averaged sensor response (nominally O3 targeted)12 Temperature in °C13 Relative Humidity (%)14 AH Absolute Humidity US Census (1990) This dataset is a discretized version of the USCensus1990raw dataset. The data was collected as part of the 1990 census, and it describes one percent sample of the Public Use Microdata Samples (PUMS) person records drawn from the full 1990 census sample (all fifty states and the District of Columbia but not including "PUMA Cross State Lines One Percent Persons Records") [2]. More information about the attributes and their type can be found in census1990_description.html. Size of dataset: 2458285Number of features: 68Ground truth: No References: [1] S. De Vito and E. Massera and M. Piga and L. Martinotto and G. Di Francia, On field calibration of an electronic nose for benzene estimation in an urban pollution monitoring scenario, Sensors and Actuators B: Chemical, Volume 129, Issue 2, 22 February 2008, Pages 750-757, ISSN 0925-4005 https://doi.org/10.1016/j.snb.2007.09.060 [2] Meek, Thiesson and Heckerman (2001), "The Learning Curve Method Applied to Clustering",The Journal of Machine Learning Research. (Also see MSR-TR-2001-34 available athttps://www.microsoft.com/en-us/research/wp-content/uploads/2001/01/lc-aistats.pdf)