Fine Grained Knowledge Sharing Mechanism with Hierarchical Structure Using Iterative d-iHMM
| Author(s) | : | Saraswati Sonkale, Mrs. V.L.Kolhe |
| Institution | : | Department of Computer Engineering, D.Y.Patil COE, Akurdi,Savitribai Phule Pune University, Pune |
| Published In | : | Vol. 4, Issue 7 — July 2017 |
| Page No. | : | 366-371 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
In collaborative environments, individuals may attempt to acquire similar information on the web keeping inmind the end goal to pick up data in one domain. For instance, in an organization a few divisions might progressivelyneed to purchase business insight software and representatives from these offices may have to learn online aboutdifferent business intelligence tools & their characteristics independently. A two-stage framework is used for mining finegrained data:(1) Web surfing information is grouped into clusters by using hierarchical clustering; (2) a noveldiscriminative infinite Hidden Markov Model is used iteratively to mine fine-grained data from every task. The excellentmaster inquiry technique is connected to mined results to discover appropriate individuals for information sharing.
Saraswati Sonkale, Mrs. V.L.Kolhe, “Fine Grained Knowledge Sharing Mechanism with Hierarchical Structure Using Iterative d-iHMM”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 7, pp. 366-371, July 2017.
