Motivation: The promises of the post-genome era disease-related discoveries and advances have yet to be fully realized, with many opportunities for discovery hiding in the millions of biomedical papers published since. Public databases give access to data extracted from the literature by teams of experts, but their coverage is often limited and lags behind recent discoveries. We present a compu...

Data mining is widely used in business applications including market segmentation, fraud detection, credit risk analysis as well as many other applications. In the construction domain however, the use of data mining has been extremely limited. Data mining usually requires the availability of a large database of previous cases to be analyzed. Therefore applications in the construction industry m...

Over half of the world’s population lives in cities and United Nations (UN) demographers project an increase of 2.5 billion more urban dwellers by 2050. Yet there is too little systematic comparative research on the practice of urban health policy and management (HPAM), particularly in the megacities of middle-income and developing nations. We make a case for creating a global database on citie...

Data mining is a relatively new data analysis technique that has the ability to discover patterns stored within historical data and is now considered a catalyst for enhancing business processes by avoiding failure patterns and exploiting success patterns. This technique is widely used in business applications including market segmentation, fraud detection, and credit risk analysis as well as ma...

The data generated within the construction industry has become increasingly overwhelming. Data mining technology presents an opportunity to increase significantly the rate at which the volumes of data generated through the maintenance process can be turned into useful information. This can be done using classification algorithms to discover patterns and correlations within a large volume of dat...

Abstraction, selection, and integration of reusable artifacts are still open problems in reuse-based software construction. We investigate how these problems can be solved for one sample domain of system software: database management systems. We propose dimensions for functional subdomains where different design choices are to be made. Strategies are the design choices for dimensions; their app...

Despite dramatic improvements in the hardware resources and computational power available to pharmaceutical researchers over the past few decades, the methods used for assessing the 2D chemical similarity between two molecules hasn’t changed much since the 1960s. Here we report a novel chemical database search method that allows the exact size of the maximum common edge subgraph (MCES) between ...