Multidimensional Mining of Massive Text Data /
First, it enables acquiring multidimensional knowledge flexibly, as the cube structure allows users to easily identify task-relevant data along multiple dimensions at varied granularities and further distill multidimensional knowledge. Second, the algorithms for cube construction and exploitation re...
| Main Authors: | , |
|---|---|
| Corporate Author: | |
| Format: | Book |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2019
|
| Edition: | 1st ed. 2019 |
| Series: | Synthesis Lectures on Data Mining and Knowledge Discovery,
|
| Subjects: |
Internet
This item is not available through BorrowDirect. Please contact your institution’s interlibrary loan office for further assistance.Duke University
| Call Number: |
ISIL:US-NCD |
|---|