Classifying items into distinct groupings is fundamental in scientific inquiry. The objective of ... more Classifying items into distinct groupings is fundamental in scientific inquiry. The objective of cluster analysis is to assign n objects to up to K mutually exclusive groups while minimizing some measure of dissimilarity among the items. Few mathematical programming approaches have been ...
Classifying items into distinct groupings is fundamental in scientific inquiry. The objective of ... more Classifying items into distinct groupings is fundamental in scientific inquiry. The objective of cluster analysis is to assign n objects to up to K mutually exclusive groups while minimizing some measure of dissimilarity among the items. Few mathematical programming approaches have been ...
Enterprise data warehouses can be an expensive investment in both time and resources. The promise... more Enterprise data warehouses can be an expensive investment in both time and resources. The promise of data warehouses is improved decision making through user empowerment and enablement of sophisticated decision support tools. Have ...
WATSON ET AL. the findings add to the body of knowledge about the benefits and assessment of deci... more WATSON ET AL. the findings add to the body of knowledge about the benefits and assessment of decision support applications. The study contained three phases. First, the relevant literature was reviewed. Next, a questionnaire solicited data from 72 organizations with EISs. ...
Classifying items into distinct groupings is fundamental in scientific inquiry. The objective of ... more Classifying items into distinct groupings is fundamental in scientific inquiry. The objective of cluster analysis is to assign n objects to up to K mutually exclusive groups while minimizing some measure of dissimilarity among the items. Few mathematical programming approaches have been ...
Classifying items into distinct groupings is fundamental in scientific inquiry. The objective of ... more Classifying items into distinct groupings is fundamental in scientific inquiry. The objective of cluster analysis is to assign n objects to up to K mutually exclusive groups while minimizing some measure of dissimilarity among the items. Few mathematical programming approaches have been ...
Enterprise data warehouses can be an expensive investment in both time and resources. The promise... more Enterprise data warehouses can be an expensive investment in both time and resources. The promise of data warehouses is improved decision making through user empowerment and enablement of sophisticated decision support tools. Have ...
WATSON ET AL. the findings add to the body of knowledge about the benefits and assessment of deci... more WATSON ET AL. the findings add to the body of knowledge about the benefits and assessment of decision support applications. The study contained three phases. First, the relevant literature was reviewed. Next, a questionnaire solicited data from 72 organizations with EISs. ...
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