Israt Jahan Chowdhury

A Novel Method for Finding Similarities between Unordered Trees Using Matrix Data Model

Trees are capable of portraying the semi-structured data which is common in web domain. Finding similarities between trees is mandatory for several applications that deal with semi-structured data.… (More)

Atypical recalcitrant wart successfully cured with intralesional 5-fluorouracil

Muhammad Hasibur Rahman, Nazma Parvin Ansari, Muhammad Hadiuzzaman, Nahida Islam Nipa, Sabrina Alam Mumu, Israt Jahan Chowdhury
2011

53 54 ABSTRACT A 30 years male presented to us with a giant wart on the foot measuring 9cm/3cm with atypical presentation. It was resisstant to many treatment. A variety of local treatments,… (More)

BOSTER: An Efficient Algorithm for Mining Frequent Unordered Induced Subtrees

Extracting frequent subtrees from the tree structured data has important applications in Web mining. In this paper, we introduce a novel canonical form for rooted labelled unordered trees called the… (More)

BEST: An Efficient Algorithm for Mining Frequent Unordered Embedded Subtrees

Israt Jahan Chowdhury, Richi Nayak
2014

FreeS: A Fast Algorithm to Discover Frequent Free Subtrees Using a Novel Canonical Form

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