 | 2011 |
|---|
| 25 |       | Faraz Ahmed,
M. Zubair Rafique,
Muhammad Abulaish:
A Data Mining Framework for Securing 3G Core Network from GTP Fuzzing Attacks.
ICISS 2011: 280-293 |
| 24 |  | Muhammad Abulaish,
Jahiruddin,
Lipika Dey:
A Statistical Approach for Automatic Keyphrase Extraction.
IICAI 2011: 1100-1112 |
| 23 | | Muhammad Abulaish:
Relation Characterization Using Ontological Concepts.
ITNG 2011: 585-590 |
| 22 | | M. Zubair Rafique,
Muhammad Abulaish:
xMiner: Nip the Zero Day Exploits in the Bud.
NCA 2011: 99-106 |
| 21 | | Muhammad Abulaish,
Tarique Anwar:
A web content mining approach for tag cloud generation.
iiWAS 2011: 52-59 |
| 2010 |
|---|
| 20 | | Muhammad Abulaish,
Tanvir Ahmad,
Jahiruddin,
Mohammad Najmud Doja:
Opinion-Based Imprecise Query Answering.
PAKDD (2) 2010: 238-248 |
| 19 | | Jahiruddin,
Muhammad Abulaish,
Lipika Dey:
A concept-driven biomedical knowledge extraction and visualization framework for conceptualization of text corpora.
Journal of Biomedical Informatics 43(6): 1020-1035 (2010) |
| 2009 |
|---|
| 18 | | Muhammad Abulaish,
Jahiruddin Sharma,
Mohammad Najmud Doja,
Tanvir Ahmad:
Feature and Opinion Mining for Customer Review Summarization.
PReMI 2009: 219-224 |
| 17 | | Muhammad Abulaish,
Jahiruddin,
Lipika Dey:
A Relation Mining and Visualization Framework for Automated Text Summarization.
PReMI 2009: 249-254 |
| 16 | | Fokrul Alom Mazarbhuiya,
Muhammad Abulaish,
Anjana Kakoti Mahanta,
Tanvir Ahmad:
Mining Local Association Rules from Temporal Data Set.
PReMI 2009: 255-260 |
| 2008 |
|---|
| 15 | | Lipika Dey,
Muhammad Abulaish:
Fuzzy ontologies for handling uncertainties and inconsistencies in domain knowledge description.
FUZZ-IEEE 2008: 1366-1373 |
| 2007 |
|---|
| 14 | | Lipika Dey,
Muhammad Abulaish,
Rohit Goyal,
Kumar Shubham:
A Rough-Fuzzy Ontology Generation Framework and Its Application to Bio-medical Text Processing.
AWIC 2007: 74-79 |
| 13 | | Muhammad Abulaish,
Lipika Dey:
A Fuzzy Ontology Generation Framework for Handling Uncertainties and Nonuniformity in Domain Knowledge Description.
ICCTA 2007: 287-293 |
| 12 | | Lipika Dey,
Muhammad Abulaish,
Jahiruddin Sharma:
Relation Extraction from Texts for Efficient Access to InformationApplication to Bio-Medical Text Processing.
IICAI 2007: 1719-1737 |
| 11 | | Lipika Dey,
Muhammad Abulaish,
Rohit Goyal,
Jahiruddin Sharma:
Semantic Integration of Information Through Relation Mining - Application to Bio-medical Text Processing.
PReMI 2007: 365-372 |
| 10 | | Lipika Dey,
Muhammad Abulaish,
Jahiruddin Sharma,
Gaurav Sharma:
Text Mining through Entity-Relationship Based Information Extraction.
Web Intelligence/IAT Workshops 2007: 177-180 |
| 9 | | Muhammad Abulaish,
Lipika Dey:
Biological relation extraction and query answering from MEDLINE abstracts using ontology-based text mining.
Data Knowl. Eng. 61(2): 228-262 (2007) |
| 2006 |
|---|
| 8 | | Lipika Dey,
Muhammad Abulaish:
Enhancing a Biological Concept Ontology to Fuzzy Relational Ontology with Relations Mined from Text.
RSCTC 2006: 527-536 |
| 7 | | Muhammad Abulaish,
Lipika Dey:
Interoperability among Distributed Overlapping Ontologies - A Fuzzy Ontology Framework.
Web Intelligence 2006: 397-403 |
| 6 | | Muhammad Abulaish,
Lipika Dey:
Information extraction and imprecise query answering from web documents.
Web Intelligence and Agent Systems 4(4): 407-429 (2006) |
| 2005 |
|---|
| 5 | | Muhammad Abulaish,
Lipika Dey:
Knowledge Enhancement Through Ontology-Guided Text Mining.
PReMI 2005: 601-604 |
| 4 | | Muhammad Abulaish,
Lipika Dey:
An Ontology-Based Pattern Mining System for Extracting Information from Biological Texts.
RSFDGrC (2) 2005: 420-429 |
| 3 | | Muhammad Abulaish,
Lipika Dey:
Biological Ontology Enhancement with Fuzzy Relations: A Text-Mining Framework.
Web Intelligence 2005: 379-385 |
| 2004 |
|---|
| 2 | | Shailendra Singh,
Lipika Dey,
Muhammad Abulaish:
A Framework for Extending Fuzzy Description Logic to Ontology Based Document Processing.
AWIC 2004: 95-104 |
| 1 | | Muhammad Abulaish,
Lipika Dey:
Using Part-of-Speech Patterns and Domain Ontology to Mine Imprecise Concepts from Text Documents.
iiWAS 2004 |
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