Data Mining

Data mining is the computational process of discovering patterns, rules, and relationships in large datasets, drawing on techniques from statistics, machine learning, and database systems. Common tasks include classification, clustering, association-rule mining, anomaly detection, and prediction. In accessibility research, data mining is applied to log data from assistive technology, sensor networks in telecare deployments, eye-tracking records, usage telemetry from augmentative communication devices, and web analytics from accessibility-audit tools. Ethical concerns are especially sharp when the data comes from disabled users in private settings: the same techniques that surface useful welfare signals can also re-identify individuals, leak sensitive health status, or encode ableist assumptions into downstream decisions.