Data Mining in Computational Biology
نویسندگان
چکیده
Rensselaer Polytechnic Institute 1.
منابع مشابه
Managing and Mining Graph Data ADVANCES IN DATABASE SYSTEMS
Graph mining and management has become an important topic of research re-cently because of numerous applications to a wide variety of data mining prob-lems in computational biology, chemical data analysis, drug discovery and com-munication networking. Traditional data mining and management algorithmssuch as clustering, classification, frequent pattern mining and indexing have no...
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With the rapid growth of computational biology and e-commerce applications, high-dimensional data becomes very common. Thus, mining highdimensional data is an urgent problem of great practical importance. However, there are some unique challenges for mining data of high dimensions, including (1) the curse of dimensionality and more crucial (2) the meaningfulness of the similarity measure in the...
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Clustering is a division of data into groups of similar objects. Representing the data by fewer clusters necessarily loses certain fine details, but achieves simplification. It models data by its clusters. Data modeling puts clustering in a historical perspective rooted in mathematics, statistics, and numerical analysis. From a machine learning perspective clusters correspond to hidden patterns...
متن کاملFaisal Saeed
Biographical notes: Faisal Saeed is a Senior Lecturer at the Department of Information Systems, Faculty of Computing, Universiti Teknologi Malaysia (UTM), Malaysia. He received his BSc in Computers (Information Technology) from Cairo University, Egypt, MSc in Information Technology Management and PhD in Computer Science from UTM, Malaysia. His research interests are machine learning, data minin...
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In the current world, sports produce considerable statistical information about each player, team, games, and seasons. Traditional sports science believed science to be owned by experts, coaches, team managers, and analyzers. However, sports organizations have recently realized the abundant science available in their data and sought to take advantage of that science through the use of data mini...
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