A BUSINESS INTELLIGENCE SYSTEM HANS PETER LUHN PDF

Hans Peter Luhn; Published in IBM Journal of Research and Business Intelligence Systems: State-of-the-art Review and Contemporary Applications. Business Intelligence has empowered organizations to derive data-driven IBM computer scientist Hans Peter Luhn, that the potential of BI was recognized. The article, titled “A Business Intelligence System”, described “an. Luhn, H.P. () A Business Intelligence System. IBM Journal of Research and Development, 2,

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When retrieving information it might be found advantageous to compare a query first with all the queries stored, in order to discover whether similar queries have been submitted intelligencce the past. In those cases where pertinent information dystem been discovered, the acceptance of the complete documents of such information will cause the updating of the action-point profile, as was the case in dissemination.

These photocopies are then delivered to the action point. This paper shows the flexibility of such a system in identifying known information, in finding who needs to know it and in disseminating it efficiently either in abstract form or as a complete document.

The objective of the system is to supply suitable information to support specific activities carried out by hsns, groups, departments, divisions, or even larger units.

The document pattern derived by the above process is then transferred into a special pattern-storage device together with the title, author, and document serial number. Description of the Business Intelligence System The following description is given in rather general terms, and references to any specific type of business have been substantially avoided.

A Business Intelligence System – Beautiful Data [Book]

Detection of an action point having given characteristics In the process of transacting business it is often desired to determine who concerns himself with a given subject. During the past decade significant progress has been made in applying machines to the processes of information retrieval. Information is now being generated and utilized at an ever-increasing rate because of the accelerated pace and scope of human activities and the steady rise in the average level of education.

Inhe suggested putting information into buckets in order to speed up search. On the other hand those documents selected are more closely related to the original subject.

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In view of the present growth trends, automation appears to offer the most efficient methods for retrieval and dissemination of this information.

A predetermined portion of the words of highest frequency is then given the status of significant words and an analysis is made of all the sentences in the text containing such words.

Get unlimited access to videos, live online training, learning paths, books, tutorials, and more. There are many details which might have to be provided to adjust the general form of the system to specific applications. The techniques proposed here to make these things possible are: Although in some cases a first search may have produced satisfactory references, in other cases the material produced may not be satisfactory.

Today would have been his th birthday. The comparisons are carried out on the basis of degree of similarity, expressed in terms of a fraction, for each of the profile patterns.

Hans Peter Luhn – Wikipedia

The function of information retrieval, however, differs from that of dissemination in that the choice is not that of accepting or rejecting one document, but rather a selection of one or several from a special group of potentially relevant petdr. If an announcement ljhn of interest, intelligenc more detailed information on the subject is desired, the system will produce such information on demand. You must be Logged on to comment or reply to a post. Information retrieval is necessarily a major function of the Business Intelligence System.

A number of additional useful functions which may be derived from the system are briefly described here. The following description is given in rather general terms, and references to any specific type of business have been substantially avoided.

As time goes on there is the probability that an increasing number of new documents will be announced to an action point because of possible shift of interests.

Clearly he was well ahead of his time. His inventions have found applications in diverse areas like computer science, the textile industry, linguistics, and information science. It is believed that techniques now being developed will greatly contribute to the solution of the problem by extending automatic processes to the preparatory phases of mechanical information-retrieval systems, to the are of petef and to associated functions. From these data the device then selects certain sentences of the document to produce an auto-abstract.

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With Safari, you learn the way you learn best. This is accomplished by the mechanical creation of profiles reflecting the sphere of interest of each point and by updating these profiles as dictated businness changes in the attitude of the respective action points and as recorded by the system on the basis of certain transactions.

Initially, the creation of these action-point profiles is best accomplished by having each action point create a document describing the various aspects of its activities and enumerating the types of information needed.

The usual type of question asked is: This is accomplished by means of an information pattern similar to that of the documents.

The term document is used to designate a block of information confined physically in a medium such as a letter, report, paper or book.

Happy Birthday to the “Father of Business Intelligence”

Selective acceptance of retrieved information The considerations which prompted the step-by-step acceptance of documents in the dissemination process are also applied to information retrieval. An automatic system is being developed to disseminate information to the various sections of any industrial, scientific or government organization. One of the most crucial problems in communication is that of channeling a given item of information to those who need to know it.

The processes employed, therefore, are identical. Today, hashing algorithms are essential for many applications such as textual tools, cloud servicesdata-intensive research and cryptography among numerous other uses. In those cases where the original document is available in machine-readable form, the transcription is done mechanically.

He also proposes “reporters” to periodically sift the data and selectively move information to action points as needed.