By Ian Watson
The wholesale catch and distribution of data over the past thirty years has created an unheard of want for agencies to control their wisdom resources. wisdom administration (KM) addresses this desire by means of aiding a company to leverage its details assets and information resources by means of "remembering" and using its event. KM comprises the purchase, garage, retrieval, software, new release, and assessment of the information resources of a firm in a managed means. at the present time, firms are utilising KM all through their structures, from info administration to advertising to human assets. utilizing wisdom administration: innovations for development company thoughts examines why case-based reasoning (CBR) is so compatible for KM. CBR can be utilized to evolve options initially designed to resolve difficulties some time past, to deal with new difficulties confronted by means of the association. This booklet basically demonstrates how CBR may be effectively utilized to KM difficulties by means of providing numerous in-depth case-studies. Ian Watson, a well known researcher in case-based reasoning and writer of the introductory ebook, utilising CBR: innovations for company structures has written this e-book particularly for IT managers and information administration process builders. * presents 7 real-world functions of information administration structures that use case-based reasoning ideas. * offers the technical info had to enforce an information administration method. * deals insights into the improvement of industrial KM CBR purposes * contains info on CBR software program owners, CBR experts and cost further resellers
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Extra resources for Applying Knowledge Management: Techniques for Building Corporate Memories
A. (1997). Intellectual Capital, Nicholas Brealey, London. 3 Deriving knowledge from patterns is contextual. people that manage knowledge) can be characterized by the following four activities: 1. 2. 3. 4. acquire knowledge (learn, create, or identify); analyze knowledge (assess, validate, or value); preserve knowledge (organize, represent, or maintain); and use knowledge (apply, transfer, or share). Don’t get too concerned by the choice of words used here, but accept that to manage knowledge you must first have some knowledge to manage, you may need to analyze the knowledge you have, you will need to store the knowledge, and of course you will want to be able to access and use the knowledge in the future.
As a guideline, case indexes should: ■ ■ ■ ■ be predictive, address the purposes the case will be used for, be abstract enough to allow for widening the future use of the case base, and be concrete enough to be recognized in future. 30 2 ◆ Understanding Case-Based Reasoning Patient Ref #: Patient Name: Address: Next of Kin: Photo: 1024 John Doe 12 Elm Street Jane Doe Unindexed features Age: Sex: Weight: Height: Blood Type: ... 53 Male 225 lbs 5’11” A neg. 1 Indexed and unindexed case features.
7 A graph with nearest neighbor distances. more predictive of their ability to repay a loan than the relative size of the monthly loan repayment. Perhaps this is because people on high salaries tend to have more job security and financial stability than those on lower incomes. Let us say that we will weight the person’s income as twice as important as the size of the loan repayment. We can still use the same graph, but our simple nearest neighbor formula changes to: The distance of T from A: dA ϭ (XA ϫ WX)ϩ (YA ϫ WY) The distance of T from B dB ϭ (XB ϫ WX)ϩ (YB ϫ WY) where WX is the weight of the attribute X, and WY is the weight of the attribute Y.