Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385192511> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W4385192511 abstract "The era of big data and social networking platforms have provided great repositories of the data for mining useful information for the real-world industry. However, along with this benefit comes the noise in the data. Generally, noise is the data-set that are redundant, false, bad, and/or outliers. Data cleaning, outlier identification, feature engineering, data slicing, etc. are few of many techniques used traditionally. End goal remains ensuring good data (signal) is not lost in bad data (noise) and less processing cost are incurred to extract useful knowledge out of given big data. This paper presents a follow up progress on existing work of the author in relevance of machine learning algorithms, academic and career data predictions and personality computing. All of that have been initially inspired by potential of useful relationships and data points in unstructured data and thus Noise becomes very relevant and may appear Signal in other contexts and predictors in goal. This proposed model is collectively titled as ‘Noise Removal and Structured Data Detection’ based on inherited parallel processing and unique n-Dimensional training approach. Personality features can be quantified into talent traits, matrix indicating the max/min for relevance factors in the academics/career of nD. The engine internals examine and train the algorithm that it minimizes the x,y co-ordinates and maximizes the z co-ordinate. It records and compares the engine internal metrics and reports it back to engine to further optimize the machine learning process until the optimum results are obtained or do not improve any further." @default.
- W4385192511 created "2023-07-25" @default.
- W4385192511 creator A5012961882 @default.
- W4385192511 date "2023-05-24" @default.
- W4385192511 modified "2023-09-23" @default.
- W4385192511 title "An Enhanced Machine Learning Approach to Identify Noise and Detect Relevant Structures for Predictive Modeling" @default.
- W4385192511 cites W1608145088 @default.
- W4385192511 cites W1993755553 @default.
- W4385192511 cites W2003064678 @default.
- W4385192511 cites W2019866783 @default.
- W4385192511 cites W2039779211 @default.
- W4385192511 cites W2088464845 @default.
- W4385192511 cites W2089809964 @default.
- W4385192511 cites W2103419363 @default.
- W4385192511 cites W2118157305 @default.
- W4385192511 cites W2119565742 @default.
- W4385192511 cites W2139212933 @default.
- W4385192511 cites W2148795955 @default.
- W4385192511 cites W2151175992 @default.
- W4385192511 cites W2155419203 @default.
- W4385192511 cites W2159094788 @default.
- W4385192511 cites W2173213060 @default.
- W4385192511 cites W2186830126 @default.
- W4385192511 cites W2210543184 @default.
- W4385192511 cites W2532755691 @default.
- W4385192511 cites W2541694965 @default.
- W4385192511 cites W2605296821 @default.
- W4385192511 cites W2791059564 @default.
- W4385192511 doi "https://doi.org/10.1109/itt59889.2023.10184237" @default.
- W4385192511 hasPublicationYear "2023" @default.
- W4385192511 type Work @default.
- W4385192511 citedByCount "0" @default.
- W4385192511 crossrefType "proceedings-article" @default.
- W4385192511 hasAuthorship W4385192511A5012961882 @default.
- W4385192511 hasConcept C108583219 @default.
- W4385192511 hasConcept C111919701 @default.
- W4385192511 hasConcept C115961682 @default.
- W4385192511 hasConcept C116834253 @default.
- W4385192511 hasConcept C119857082 @default.
- W4385192511 hasConcept C124101348 @default.
- W4385192511 hasConcept C154945302 @default.
- W4385192511 hasConcept C158154518 @default.
- W4385192511 hasConcept C17744445 @default.
- W4385192511 hasConcept C199539241 @default.
- W4385192511 hasConcept C2522767166 @default.
- W4385192511 hasConcept C2778827112 @default.
- W4385192511 hasConcept C41008148 @default.
- W4385192511 hasConcept C59822182 @default.
- W4385192511 hasConcept C67186912 @default.
- W4385192511 hasConcept C75684735 @default.
- W4385192511 hasConcept C77088390 @default.
- W4385192511 hasConcept C79337645 @default.
- W4385192511 hasConcept C86803240 @default.
- W4385192511 hasConcept C98045186 @default.
- W4385192511 hasConcept C99498987 @default.
- W4385192511 hasConceptScore W4385192511C108583219 @default.
- W4385192511 hasConceptScore W4385192511C111919701 @default.
- W4385192511 hasConceptScore W4385192511C115961682 @default.
- W4385192511 hasConceptScore W4385192511C116834253 @default.
- W4385192511 hasConceptScore W4385192511C119857082 @default.
- W4385192511 hasConceptScore W4385192511C124101348 @default.
- W4385192511 hasConceptScore W4385192511C154945302 @default.
- W4385192511 hasConceptScore W4385192511C158154518 @default.
- W4385192511 hasConceptScore W4385192511C17744445 @default.
- W4385192511 hasConceptScore W4385192511C199539241 @default.
- W4385192511 hasConceptScore W4385192511C2522767166 @default.
- W4385192511 hasConceptScore W4385192511C2778827112 @default.
- W4385192511 hasConceptScore W4385192511C41008148 @default.
- W4385192511 hasConceptScore W4385192511C59822182 @default.
- W4385192511 hasConceptScore W4385192511C67186912 @default.
- W4385192511 hasConceptScore W4385192511C75684735 @default.
- W4385192511 hasConceptScore W4385192511C77088390 @default.
- W4385192511 hasConceptScore W4385192511C79337645 @default.
- W4385192511 hasConceptScore W4385192511C86803240 @default.
- W4385192511 hasConceptScore W4385192511C98045186 @default.
- W4385192511 hasConceptScore W4385192511C99498987 @default.
- W4385192511 hasLocation W43851925111 @default.
- W4385192511 hasOpenAccess W4385192511 @default.
- W4385192511 hasPrimaryLocation W43851925111 @default.
- W4385192511 hasRelatedWork W2164774757 @default.
- W4385192511 hasRelatedWork W2295045662 @default.
- W4385192511 hasRelatedWork W2946137441 @default.
- W4385192511 hasRelatedWork W3014300295 @default.
- W4385192511 hasRelatedWork W3086249470 @default.
- W4385192511 hasRelatedWork W3200179079 @default.
- W4385192511 hasRelatedWork W4236518021 @default.
- W4385192511 hasRelatedWork W4240141642 @default.
- W4385192511 hasRelatedWork W4245057874 @default.
- W4385192511 hasRelatedWork W4247880953 @default.
- W4385192511 isParatext "false" @default.
- W4385192511 isRetracted "false" @default.
- W4385192511 workType "article" @default.