Establishing a Center of Excellence for Data Mining
Establishing a Center of Excellence for Data Mining in Egypt
By: Aref Rashad
I- Introduction
The convergence of computer resources connected via a global network has created an information tool of unprecedented power, a tool in its infancy. The global network is awash with data, uncoordinated, unexplored, but potentially containing information and knowledge of immense economic and technical significance. It is the role of data mining technologies arising from many discipline areas to convert that data into information and knowledge. It is our premise therefore that data mining technologies lie at the heart of the information revolution providing the mechanism for creating information and knowledge.
These we contend are the commodities that increasingly are driving regional, national and global economies.
Data mining is characterized generally by the exploration and exploitation of large collections of opportunistically collected data whose internal structure is unknown and unmodeled a priori. Data set size and complexity are usually key parameters in data mining. Data quality and algorithmic complexity are concomitants that impact upon the success of data mining efforts.
Conventional methods are usually quite successful with tiny or small data sets. Analysis in these regimes usually focuses on statistical optimality, extracting maximal information from each observation. Medium to large data sets begin to severely tax traditional methodologies.
Computer modeling is the use of computers to create abstract models of real life objects, organizations, situations, or systems. A computer model is dynamic in nature and it helps to examine the behavior of the system under study in order to analyze and enhance its performance.
The data mining and data modeling field is an arena with major economic and scientific impact on Egypt. The potential impact is both short term, because the proposed center is in effect a meta center bringing together groups already
By: Aref Rashad
I- Introduction
The convergence of computer resources connected via a global network has created an information tool of unprecedented power, a tool in its infancy. The global network is awash with data, uncoordinated, unexplored, but potentially containing information and knowledge of immense economic and technical significance. It is the role of data mining technologies arising from many discipline areas to convert that data into information and knowledge. It is our premise therefore that data mining technologies lie at the heart of the information revolution providing the mechanism for creating information and knowledge.
These we contend are the commodities that increasingly are driving regional, national and global economies.
Data mining is characterized generally by the exploration and exploitation of large collections of opportunistically collected data whose internal structure is unknown and unmodeled a priori. Data set size and complexity are usually key parameters in data mining. Data quality and algorithmic complexity are concomitants that impact upon the success of data mining efforts.
Conventional methods are usually quite successful with tiny or small data sets. Analysis in these regimes usually focuses on statistical optimality, extracting maximal information from each observation. Medium to large data sets begin to severely tax traditional methodologies.
Computer modeling is the use of computers to create abstract models of real life objects, organizations, situations, or systems. A computer model is dynamic in nature and it helps to examine the behavior of the system under study in order to analyze and enhance its performance.
The data mining and data modeling field is an arena with major economic and scientific impact on Egypt. The potential impact is both short term, because the proposed center is in effect a meta center bringing together groups already