A Feasible Dashboard to predict Patent Mining Using ... › publication › fulltext › A-Feasible... › publication › fulltext › A-Feasible...by DA Naik · 2020 · Related articlesThe collaborated classification graph shown in the figure below. Figure 6 Classi
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Procedia Computer Science 167 (2020) 2011–2021
International Conference on Computational Intelligence and Data Science (ICCIDS 2019) International Conference on Computational Intelligence and Data Science (ICCIDS 2019)
A Feasible Dashboard to predict Patent Mining Using Classification Algorithms A Feasible Dashboard to predict Patent Mining Using Classification Algorithms a
Darshana A Naika , Brunda C Jb, Dr. Seema Sc
c Assistant Professor, Department of Computer Ramaiah Institute Of S Technology, Bangalore, India Darshana A NaikaScience, , Brunda C Jb, Dr. Seema b a Student, Department of Computer Science, Ramaiah Institute Of Technology, Bangalore, India India Assistant Professor, Department of Computer Science, Ramaiah Institute Of Technology, Bangalore, b Student, Department of Computer Science, Ramaiah Institute Of Technology, Bangalore, India
Abstract Abstract The number of patents that are being filed across the world is increasing day by day. With the increase in patents
The ofprocess patentsof that are being the filed acrossbased the world is class increasing dayeven by day. the increase in apatents beingnumber filed the segregating patents on their becomes moreWith difficult. There are set of being filed of segregating the patents on their class becomes eventhat more There arewill a set of features thatthe areprocess extracted from the dataset that isbased previously present. The features aredifficult. being extracted vary features are extracted from the dataset is previously present. that are extracted will vary for each that document. Patents documents arethat issued as legal rights byThe the features government for being protecting the owner of for each document. Patents documents are issuedthe as invention legal rights byused the government forusing, protecting thedeveloping owner of invention. This exclusive right helps in protecting to be by others from selling, invention. right protecting the invention usedthere by others from using, another, etcThis for exclusive some period ofhelps time. in After the feature extractiontoisbedone are two steps thatselling, need todeveloping be carried another, etc for some periodand of prediction. time. After For the this feature extraction is done are two stepswhich that need to be out, namely: Classification purpose, decision tree there algorithm is used makes usecarried of the out, Classification prediction. is Fordone this using purpose, decision treeTherefore, algorithm for is used which makes use of the mostnamely: prominent feature andand classification those features. classification a hierarchical most prominent feature is and classification using those features. Therefore, for classification a hierarchical decision tree algorithm used along with isthedone probability of patent conversion. Based on the classification that is decision tree algorithm is usedand along with thea probability Basedwith on the classification that is done a model will be created whenever new entity of is patent broughtconversion. it is compared model file that was done a model will be created and and whenever a newasentity is brought is compared with the model file that was created using the available datasets is predicted a particular class.it Thus, both classification of existing dataset created the available and isbased predicted as a particular Thus, both classification of existing and the using prediction for anydatasets new dataset on previous inputsclass. can be achieved thereby facilitating the dataset patent and theprocess prediction for any system new dataset basedmainly on previous inputs on canthe beprediction achieved of thereby facilitating themining patent mining In proposed this paper concentrating the patent using data mining process In proposed system this mainly concentrating on the prediction of theAnd patent data mining techniques. Decision tree algorithm for paper the classification of the patent mining is applied. alsousing classification of techniques. Decision algorithm for the classification of the patent mining Andpatent also classification of the data using some tree attributes is done, namely; association frequency, grant isorapplied. applicant, country, patent the datagrant using someusing attributes done, namely; association grantNaive or applicant, patent country, patent status, patent these isattributes prediction of patentfrequency, mining using Bayes algorithm is done. The status, grant patent gives using best theseresult attributes prediction ofThe patent mining Naive whether Bayes algorithm is done. proposed algorithm for patent mining. patent statususing is checked he got grant accessThe of proposed gives best result for patent is checked got grant of the patentalgorithm in prediction which is the best patentmining. mining The in allpatent over status the country. The whether graph is he plotted for toaccess
