… , and mining of biomedical data—these are a few examples of how data mining may affect
our … This book focuses on some of the emerging trends in the field of data mining. It deals with …

… out the useful knowledge, enabling such data to become the real fortune for … data mining
in different areas, challenges its future directions. Finally, it is pointed out that the data mining …

… One possible approach we describe here leverages the wealth of data in the field by
incorporating data mining, informatics, and machine learning in conjunction with traditional …

… survey of various data mining techniques in analyzing microarray data. Who can forget the
application of data mining to the field of security__?__ With terabytes of data to search through…

… An approach to tackle these limitations and enable histopathology data mining is based on
extraction of understandable quantitative features of histological structures 14,15,16,17,18 . …

… In Figure 2, we illustrate how digital data collection technologies … a “next generation” approach
to climate data tracking based on DLTs. First, IoT and EO technologies collect data (layer 1…

… major challenges of data mining are: attempting … data mining goal for use in another data
mining goal. In section 2 we discuss a framework for developing Hybrid Systems for Data Mining…

… the data available via our Observed Antibody Space (OAS) resource at http://antibodymap.org.
The data … We believe OAS will facilitate data mining of immune repertoires for improved …

… by integrating data mining with other omics data, such as … by using a sophisticated NGS data
mining approach. This study … discovery process through data mining encounters obstacles …

… Courses in data mining have started to sprawl all over the world. … curriculum for data
mining that gives recommendations for educating the next generation of students in data mining. …