Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Classification | 2 |
| Data Analysis | 2 |
| Database Design | 2 |
| Information Retrieval | 2 |
| Access to Information | 1 |
| Artificial Intelligence | 1 |
| Automation | 1 |
| Bibliographic Databases | 1 |
| Computational Linguistics | 1 |
| Data Use | 1 |
| Design | 1 |
| More ▼ | |
Source
| Library Trends | 1 |
| ProQuest LLC | 1 |
Author
| Norton, M. Jay | 1 |
| Shaurya Rohatgi | 1 |
Publication Type
| Dissertations/Theses -… | 1 |
| Journal Articles | 1 |
| Reports - Descriptive | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Shaurya Rohatgi – ProQuest LLC, 2023
The exponential growth of digital libraries and the proliferation of scholarly content in electronic formats have made data mining and information retrieval essential tools for effectively managing, organizing, and disseminating knowledge. This thesis provides a comprehensive analysis of the advancements and challenges in these fields, with a…
Descriptors: Data Use, Data Analysis, Information Retrieval, Database Design
Peer reviewedNorton, M. Jay – Library Trends, 1999
Knowledge discovery in databases (KDD) revolves around the investigation and creation of knowledge, processes, algorithms, and mechanisms for retrieving knowledge from data collections. The article is an introductory overview of KDD. The rationale and environment of its development and applications are discussed. Issues related to database design…
Descriptors: Access to Information, Automation, Bibliographic Databases, Classification

Direct link
