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This was the best practice of the time, and if the proper ratios were in place, the problem was believed to be adequately addressed Besides, who could argue with a best practice Hollinger and Clark, in their research of almost 20 years ago, also spoke to matters of organizational intelligence and its role in affecting behavior They observed that one of the elements they believed key to reducing fraud was an understanding of theft behavior Within our organizations we seem woefully ignorant of the extent of fraudulent behavior, much less of what is motivating it Perhaps this weakness can be addressed by improved data collection and analysis, both from organizational information systems and human interaction..

for i = 1, . . . , 7. (9.21)

This highlights the need for the integration of the two disciplines at this level Conservationists could then build ecotoxicology data into PVA to better assess the viability of endangered species, and ecotoxicologists could use models developed for conservation in order to determine the consequence of ecotoxicology data on the species or population of concern The use of PVA models could be particularly important for studies involving sh because as with many endangered species, pollution represents an additional threat imposed.

routing. One knows the data has to go from this source to that destination. In general, this is called the service approach: apply only the required services, nothing more. Fourth, even with a limited number of destinations, it is very likely that dataintensive traffic streams will traverse multiple network domains. Considering scalability issues, it is likely that the most cost-effective means for peering among the domains will be at optical peering locations.

Consequently we use only two operations [Borgelt and Kruse 1998d]: split: Add a new level to a decision graph, that is, split all leaves according to the values of a new parent attribute merge: Merge two distinct leaf nodes These operations are executed in turn First a level is added to a decision graph and then leaves are merged When a new level is added, one may either split the merged leaves of the previous step or start over from a full decision tree To find a good set of mergers of leaf nodes, a greedy approach suggests itself That is, in each step all mergers of two leaves are evaluated Then that leaf merger is carried out which yields the largest improvement of the evaluation measure Merging leaves stops when no leaf merger improves the value of the evaluation measure.

Data model for customer data (data) Profiles for call center employees (organization) Model of the customer-contact knowledge domain (application) Workflow design (application)

The pattern of a producer and a consumer negotiating and implementing a SLA recurs in many resource domains, whether it is a computation service or a networking service. The GGF has produced the WS-Agreement specification [56] of a SLA design pattern . It abstracts the whole set of operations e.g., creation, monitoring, expiration, termination that mark the life cycle of a SLA. Each domain of utilization e.g., networking requires a companion specification to WS-Agreement, to extend it with various domain-specific terms for a SLA. Research teams (e.g., ref. 57) have efforts under way to experiment with domain-specific extensions to WS-Agreement for networking. Once it is associated to domain-specific extension(s), a WS-Agreement can be practically implemented with Web Services software executing at both the consumer side and the provider side. 7.5.2.4 Nomenclatures, hierarchies, and ontologies: taking on semantics

Table 7-2

If a mechanism for re-splitting leaf nodes is provided, simulated annealing may also be used At first sight this algorithm may appear to be worse than the algorithm reviewed above, because the operation that splits all leaves seems to be more costly than the split operations for single leaves However, it is clear that the algorithm by [Chickering et al 1997] has to check all splits of leaf nodes in order to find the best split and thus actually carries out the same operation Note also that our algorithm needs to access the database of sample cases only as often as an algorithm for learning a Bayesian network without local structure, for instance, the K2 algorithm: the conditional frequency distributions have to be recomputed only after a split operation has been executed.

15

The next step (that is, the step in which leaves are merged) can be carried out without accessing the database, since all necessary information is already available in the leaf nodes In contrast to this, the algorithm by [Chickering et al 1997] has to access the database whenever two leaf nodes are merged in order to evaluate the possible splits of the resulting node It should be noted that for merging leaves both algorithms can exploit the fact that most evaluation measures (cf Section 724) are computed from terms that can be computed leaf by leaf Hence, if two leaves are merged, the decision graph need not be re-evaluated completely, but the change of the evaluation measure can be computed locally from the distributions in the merged leaves and the distribution in the resulting leaf..