This data set is generated from the original T40I10D100K data set, to mine fuzzy sequential patterns over quantitative streams. While the original T40I10D100K is generated from the synthetic data generator described in R. Agrawal, R. Srikant, Fast algorithms for mining association rules, 20th Intl. Conf. on Very Large Databases (VLDB94), pp. 487-499. 1994. The data set is a SQL Server 2008 database, which can be attached to a SQL Server Instance to use
Pitch classes information has been extracted from MIDI sources downloaded from (JSB Chorales)[[Web Link]]. Meter information has been computed through t...
classification, sequentialThis dataset has been developed to help evaluate a "hybrid" learning algorithm ("KBANN") that uses examples to inductively refine preexisting knowledge....
domain-theory, classification, sequentialThis dataset represents a real-life benchmark in the area of Ambient Assisted Living applications, as described in [1]. The binary classification task c...
time-series, multivariate, classification, sequentialThe dataset could contain missing values. The data was sampled every minute, computing and uploading it smoothed with 15 minute means. The header of the...
text, sequential, regression, time-series, multivariateThe dataset is composed by features extracted from 7 videos with people gesticulating, aiming at studying Gesture Phase Segmentation. Each video is repr...
classification, clustering, sequential, time-series, multivariateA description of the underlying Cargo 2000 standard and the processes reflected in the data set can be found at [Web Link].
regression, multivariate, classification, sequentialProblem Description: Splice junctions are points on a DNA sequence at which `superfluous' DNA is removed during the process of protein creation in hig...
domain-theory, classification, sequentialOur dataset is used by us to explore spammers in microblog and you can access our demo system at [Web Link]Please add :8080 after the domain name as por...
univariate, classification, sequential, causal-discovery, multivariate, textThe data can be used to try to predict student learning in SE teamwork based on observation of their team activity **** README FILE from the submitted...
time-series, classification, sequentialEach record represents 100 points on a two-dimensional graph. When plotted in order (from 1 through 100) as the Y co-ordinate, the points will create ei...
classification, sequentialThe experiments have been carried out with a group of 115 students of first-year, undergraduate Engineering major of the University of Genoa. We carri...
classification, clustering, sequential, regression, time-series, multivariateIndoor localisation is a key topic for the Ambient Intelligence (AmI) research community. In this scenarios, recent advancements in wearable technolog...
classification, clustering, sequential, regression, time-series, multivariateWe create a character database by collecting samples from 11 writers. Each writer contributed with letters (lower and uppercase), digits, and other cha...
multivariate, classification, sequentialThe provided files comprise three different data sets. The first one contains the raw values of the measurements of all 24 ultrasound sensors and the c...
multivariate, classification, sequentialFor a list of attributes, please refer to those two .names files. They use the following naming convention: All the attribute start with T means the t...
time-series, multivariate, classification, sequentialThis dataset comprises information regarding the ADLs performed by two users on a daily basis in their own homes. This dataset is composed by two insta...
classification, clustering, sequential, time-series, multivariateThis file contains 9 sets of sanitized user data drawn from the command histories of 8 UNIX computer users at Purdue over the course of up to 2 years (U...
text, sequential1. Title of Database: Machine Learning based ZZAlpha Stock Recommendations 2. Sources: (a) Original owners of data: ZZAlpha Ltd., 4729 E. Sunrise #10...
time-series, classification, sequentialIndoor localization is a key topic for mobile computing. However, it is still very difficult for the mobile sensing community to compare state-of-art In...
classification, clustering, sequential, regression, time-series, multivariateThis dataset represents a real-life benchmark in the area of Activity Recognition applications, as described in [1]. The classification tasks consist ...
time-series, multivariate, classification, sequentialThe automated analysis of facial expressions has been widely used in different research areas, such as biometrics or emotional analysis. Special impo...
multivariate, classification, clustering, sequentialFor complete information see the official challenge page: [Web Link]
clustering, sequential, causal-discovery, time-series, multivariate, domain-theoryThis is a data set used by Ning Qian and Terry Sejnowski in their study using a neural net to predict the secondary structure of certain globular protei...
classification, sequentialThis data records interactions with Entree Chicago restaurant recommendation system (originally [Web Link]) from September, 1996 to April, 1999. The dat...
recommender, transactional, sequentialThis dataset was constructed by adding elevation information to a 2D road network in North Jutland, Denmark (covering a region of 185 x 135 km^2). Eleva...
regression, text, clustering, sequentialThe dataset collects data from an Android smartphone positioned in the chest pocket. Accelerometer Data are collected from 22 participants walking in th...
univariate, classification, clustering, sequential, time-seriesIMPORTANT: we have lower performance on 'leave-one-subject-out' tests. The performance baseline index we established is for 10-fold cross-validation tes...
classification, sequential--- The dataset collects data from a wearable accelerometer mounted on the chest --- Sampling frequency of the accelerometer: 52 Hz --- Acceler...
univariate, classification, clustering, sequential, time-seriesThis is a transnational data set which contains all the transactions occurring between 01/12/2010 and 09/12/2011 for a UK-based and registered non-store...
classification, clustering, sequential, time-series, multivariateThe measurements were created to ease the development, comparison and evaluation of fingerprinting based hybrid indoor positioning methods. The measurem...
time-series, multivariate, classification, sequentialThe dataset (movement_libras) contains 15 classes of 24 instances each, where each class references to a hand movement type in LIBRAS. In the video pre...
multivariate, classification, clustering, sequentialWe have created the UJIpenchars2 character database by collecting samples from 60 writers at two different sites in two phases: 1st phase, 11 writers, c...
multivariate, classification, sequentialDocuments are first obtained via a Web search using AMIEI: an integrated platform for delivering enterprise intelligence, developed by AMI Software ([We...
multivariate, text, clustering, sequentialAll data is from one continuous EEG measurement with the Emotiv EEG Neuroheadset. The duration of the measurement was 117 seconds. The eye state was det...
time-series, multivariate, classification, sequentialOpen University Learning Analytics Dataset (OULAD) contains data about courses, students and their interactions with Virtual Learning Environment (VLE) ...
classification, clustering, sequential, regression, time-series, multivariateA dataset of online handwritten assamese characters by collecting samples from 45 writers is created. Each writer contributed 52 basic characters, 10 nu...
multivariate, classification, sequentialThe data comes from Internet Information Server (IIS) logs for msnbc.com and news-related portions of msn.com for the entire day of September, 28, 1999 ...
sequentialPeople used for recording of the data were wearing four tags (ankle left, ankle right, belt and chest). Each instance is a localization data for one of...
time-series, univariate, classification, sequential