Notes Connector Exchange Cluster
Notes Connector Exchange Clustering Consulting Services
With
Exchange Server 2003, we shifted everything to be dependent
on the System Attendant, because in Exchange 2000, before the
information store could come offline, we would need to wait for IMAP4,
SMTP, HTTP, POP3, and MS Search to all come offline before the
information store could come offline. Now by making all of these
dependent on the System Attendant, they can all come offline at the same
time, and then the System Attendant can come offline gracefully and move
over to another node or prepare for maintenance.
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Notes Connector Exchange Cluster
The Benefits of Clustering
The goal of clustering
is to determine the intrinsic grouping in a set of unlabeled data. But
how to decide what constitutes a good clustering? It can be shown that
there is no absolute “best” criterion which would be independent of the
final aim of the clustering. Consequently, it is the user which must
supply this criterion, in such a way that the result of the clustering
will suit their needs.
For instance, we could be interested in finding representatives for
homogeneous groups (data reduction), in finding “natural
clusters” and describe their unknown properties (“natural” data
types), in finding useful and suitable groupings (“useful” data
classes) or in finding unusual data objects (outlier detection).
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The Benefits of Clustering
Who uses clustering?
Many different types of organizations use
clustering as a vital
part of the work. A sampling of these include:
-
Marketing:
finding groups of customers with similar behavior given a large
database of customer data containing their properties and past
buying records;
-
Biology:
classification of plants and animals given their features;
-
Libraries:
book ordering;
-
Insurance:
identifying groups of motor insurance policy holders with a high
average claim cost; identifying frauds;
-
City-planning:
identifying groups of houses according to their house type,
value and geographical location;
-
Earthquake
studies: clustering observed earthquake epicenters to
identify dangerous zones;
-
WWW:
document classification; clustering weblog data to discover
groups of similar access patterns.
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Who Uses Clustering