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@article{145616,
        author = {M. NAGARJUNA and G.ANANTHNATHA},
        title = {POSITIVE AND NEGATIVE RELATIONSHIP   AMONG TRANSACTION DATABASE },
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {10},
        pages = {688-692},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=145616},
        abstract = {Risky movements. We recommend a commonly related regulations bear in mind simplest items most effective by way of one transaction. Such policies are referred as function associated guidelines. terrible associative policies also recollect the identical objects, but it consider absent from transaction. In absents of transaction associative guidelines are beneficial in largere tailer to discover associations between objects. It running with the aid of searching out combination of gadgets that happens collectively regularly in transaction to become aware of product that conflict with each different or merchandise that complement each other. association  regulations are extensively used to investigate retail basket or transaction facts and are supposed to discover robust regulations found in transaction data the usage of measures of interestingness, based on the concept of strong policies. The accuracy in setting up this threshold directly influences the wide variety and the high-quality of affiliation regulations determined. generally, earlier than association regulations are mined, a user needs to determine a assist threshold in order to gain simplest the frequent item units. Having customers to determine a support threshold attracts a number of troubles. As a result, decision making the usage of those policie sought to cause framework to discover domain knowledge record as coherent guidelines. Coherent regulations are found primarily based on the properties of propositional good judgment, and consequently, calls for no background understanding to generate them.},
        keywords = {Associativ,Transaction,recordsmining, framework.},
        month = {},
        }