Reclaiming Abandoned Mining Sites: Reurbanization Concepts and Examples

Reclaiming "abandoned" DNA: the Fourth Amendment and genetic privacy.

Data Mining: Concepts and Techniques

Preface Our capabilities of both generating and collecting data have been increasing rapidly in the last several decades. Contributing factors include the widespread use of bar codes for most commercial products, the computerization of many business, scientiic and government transactions and managements, and advances in data collection tools ranging from scanned texture and image platforms, to ...

Predictive Data Mining: Practical Examples

The paper addresses some theoretical and practical aspects of data mining, focusing on predictive data mining, where two central types of prediction problems are discussed: classification and regression. Further accent is made on predictive data mining, where the time-stamped data greatly increase the dimensions and complexity of problem solving. The main goal is through processing of data (rec...

Towards mining and learning with networked examples

An important challenge related to the prediction of relationships between groups of vertices or the properties of such relationships (e.g., link prediction) is that links are not independent (they share vertices) and hence the common assumption that examples are drawn identically and independently does not hold. A related problem occurs in frequent pattern mining, where it is non-trivial to def...

Data Mining: Some examples and some directions

Many successful attempts have been made to deduce information from data. Such data might come from an explicit body of knowledge, for example from a data base. Alternatively the data might be implicit, for example the behaviour of a system. The system may itself be physical such as a helicopter or a factory, or it may be conceptual such as a financial system. The extraction of information from ...