Adverse drug reactions/events (ADR/ADE) have a major impact on patient health and care costs. While most ADR’s are not reported via formal channels, they often documented in variety of unstructured conversations such as social media posts or customer support call transcripts. In this paper, we propose natural language processing (NLP) solution that detects free-text conversations, which improve...

Online education platforms enable teachers to share a large number of educational resources such as questions form exercises and quizzes for students. With volumes available questions, it is important have an automated way quantify their properties intelligently select them students, enabling effective personalized learning experiences. In this work, we propose framework mining insights from at...

1. The data revolution in games – and everywhere else – calls for analysis methods that scale to with dataset size. The solution: game data mining 2. Game data mining deals with the challenges of acquiring actionable insights from game telemetry. 3. Read the chapter for an introduction to game data mining, an overview of methods commonly and not so commonly used, examples, case studies and a su...

Despite the availability of various data repositories for plant research, a wealth of information currently remains hidden within the biomolecular literature. Text mining provides the necessary means to retrieve these data through automated processing of texts. However, only recently has advanced text mining methodology been implemented with sufficient computational power to process texts at a ...

Data mining is becoming increasingly important since the size of databases grows even larger and the need to explore hidden rules from the databases becomes widely recognized. Currently database systems are dominated by relational database and the ability to perform data mining using standard SQL queries will de nitely ease implementation of data mining. However the performance of SQL based dat...

Software repositories contain a vast wealth of information about software development. Mining these repositories has proven useful for detecting patterns in software development, testing hypotheses for new software engineering approaches, etc. Specifically, mining source code has yielded significant insights into software development artifacts and processes. Unfortunately, mining source code at...