Rintyarna et al., 2018 - Google Patents
Automatic ranking system of university based on technology readiness level using LDA-Adaboost. MHRintyarna et al., 2018
View PDF- Document ID
- 17760916948535669301
- Author
- Rintyarna B
- Sarno R
- Yuananda A
- Publication year
- Publication venue
- 2018 international conference on information and communications technology (ICOIACT)
External Links
Snippet
Regarding the intense competition among universities, a university ranking based on certain criteria is widely carried out. There are two core criteria for producing University Ranking, namely qualitative and quantitative criteria. Commonly, the ranking is yielded from an …
- 238000005516 engineering process 0 title abstract description 23
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30634—Querying
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/27—Automatic analysis, e.g. parsing
- G06F17/2765—Recognition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30705—Clustering or classification
- G06F17/3071—Clustering or classification including class or cluster creation or modification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
- G06N5/02—Knowledge representation
- G06N5/022—Knowledge engineering, knowledge acquisition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
- G06Q10/105—Human resources
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B7/00—Electrically-operated teaching apparatus or devices working with questions and answers
- G09B7/02—Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B19/00—Teaching not covered by other main groups of this subclass
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B5/00—Electrically-operated educational appliances
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Gugnani et al. | Implicit skills extraction using document embedding and its use in job recommendation | |
Sultan et al. | Fast and easy short answer grading with high accuracy | |
Kumar et al. | Get it scored using autosas—an automated system for scoring short answers | |
Mohler et al. | Text-to-text semantic similarity for automatic short answer grading | |
Sadr et al. | Unified topic-based semantic models: a study in computing the semantic relatedness of geographic terms | |
Devi et al. | Machine learning techniques with ontology for subjective answer evaluation | |
Rintyarna et al. | Automatic ranking system of university based on technology readiness level using LDA-Adaboost. MH | |
Bernius et al. | A machine learning approach for suggesting feedback in textual exercises in large courses | |
Nyaung et al. | Feature Based Summarizing and Ranking from Customer Reviews | |
O'Rourke et al. | Visualizing Topic Flow in Students' Essays. | |
Dascălu et al. | Towards an integrated approach for evaluating textual complexity for learning purposes | |
Alobed et al. | A comparative analysis of Euclidean, Jaccard and Cosine similarity measure and arabic wordnet for automated arabic essay scoring | |
Ferschke et al. | A lightly supervised approach to role identification in wikipedia talk page discussions | |
Rahman et al. | An automated approach for answer script evaluation using natural language processing | |
Hussain et al. | Assessment of bangla descriptive answer script digitally | |
Jimenez et al. | Soft cardinality in semantic text processing: experience of the SemEval international competitions | |
Galhardi et al. | Automatic grading of portuguese short answers using a machine learning approach | |
Aliyanto et al. | Supervised probabilistic latent semantic analysis (sPLSA) for estimating technology readiness level | |
Kravets et al. | Stochastic Game Model of Data Clustering. | |
Okhdar et al. | English vocabulary learning through recommender system based on sentence complexity and vocabulary difficulty | |
Grishman et al. | An information extraction customizer | |
Li | Machine Learning-Based Evaluation of Information Literacy Enhancement among College Teachers. | |
Aljameel et al. | Survey of string similarity approaches and the challenging faced by the Arabic language | |
INTURI et al. | Assessment Of Descriptive Answers in Moodle-based E-learning using Winnowing Algorithm | |
Wei et al. | Multiple Choice Question Generation Based on the Improved TextRank |