Demo Data from EDBT 2026 / reviewers in the wild / expert
C. Chitti Babu
dblp:66/5991
· DBLP profile ↗
6ranked-venue papers
6as first author
0since 2021 · last 1974
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 3 · 3 first-authorDatabases, data management, data science and information retrieval · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1 · 1 first-authorTheory of computation · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Theoretical computer science
3 papers |
Information theory · 52% Computational geometry · 26% Algorithms and data structures · 22% | |
| Databases, data mining, and information retrieval
2 papers |
Data mining · 100% |
Topics — the 7 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Data mining › dimensionality reduction
feature selection |
0.0 | 1 | 1972 | On the Extraction of Pattern Features from Imperfectly Identified Samples · IEEE Trans. Computers 1972 |
Data mining
pattern recognition |
0.0 | 1 | 1972 | On the Extraction of Pattern Features from Imperfectly Identified Samples · IEEE Trans. Computers 1972 |
Information theory › information measures › divergence measures
bhattacharyya coefficient |
0.0 | 1 | 1972 | On the Extraction of Pattern Features from Imperfectly Identified Samples · IEEE Trans. Computers 1972 |
Computational geometry
distance measures |
0.0 | 1 | 1972 | On the distance criterion of Patrick and Fischer (Corresp.) · IEEE Trans. Inf. Theory 1972 |
Information theory › statistical inference
statistical decision theory |
0.0 | 1 | 1972 | On the distance criterion of Patrick and Fischer (Corresp.) · IEEE Trans. Inf. Theory 1972 |
Data mining › predictive modeling › classification
pattern classification |
0.0 | 1 | 1971 | An Algorithm for Pattern Classification Using Eigenvectors · IEEE Trans. Computers 1971 |
Algorithms and data structures › numerical linear algebra
eigenvalue computation |
0.0 | 1 | 1971 | An Algorithm for Pattern Classification Using Eigenvectors · IEEE Trans. Computers 1971 |
Methods — techniques the papers use, named apart from their topics
upper bounding · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1974 | Author's ReplyabstractI thank Dr. Toussaint for his interest in my work. To answer his first point namely the validity of the upperbound, over the range of β, a better bound appears in another paper ([1, (10)]). C. Chitti Babu |
IEEE Trans. Computers | 1 |
| 1973 | On feature extraction in pattern recognition
C. Chitti Babu |
Inf. Sci. | 1 |
| 1973 | Correction to "On the Application of Divergence for the Extraction of Features from Imperfectly Labeled Patterns"
C. Chitti Babu |
IEEE Trans. Syst. Man Cybern. | 1 |
| 1972 | On the Extraction of Pattern Features from Imperfectly Identified SamplesabstractThe application of Bhattacharyya coefficient for the selection of effective features from imperfectly labeled patterns is examined. C. Chitti Babu |
IEEE Trans. Computers | 1 |
| 1972 | On the distance criterion of Patrick and Fischer (Corresp.)abstractAn upper bound on the probability of misrecognition is obtained in terms of Patrick and Fischer's measure of distance and its maximization is shown to minimize the upper bound on the probability of error. C. Chitti Babu |
IEEE Trans. Inf. Theory | 1 |
| 1971 | An Algorithm for Pattern Classification Using EigenvectorsabstractAn algorithm for pattern classification using eigenvectors is presented. This algorithm provides an alternative viewpoint for obtaining a solution weight vector of certain pattern classification problems. Convergence of the algorithm is proved and the termination condition of iteration is given. An interesting point is that this algorithm does not require the inversion of matrices, instead it requires the computation of eigenvalues and eigenvectors of the matrix. C. Chitti Babu, Wah-Chun Chan |
IEEE Trans. Computers | 1 |