activity
20102026
most citedAn In-place Framework for Exact and Approximate Shortest Unique Substring Queries

7 citations · 23 across the 12 of their papers we have counts for

collaborators

17 papers

cs.DS2026

ZigZag Trie: A Novel Index for Contextual Queries

Ling Li, Daniel Gibney, Sharma V. Thankachan +3

There is increasing interest in queries about the context of a string in a longer text , i.e., the set of all string pairs , with , for a given , such t…

cs.DS2026

Compressed Inverse Suffix Arrays

Sharma V. Thankachan

The suffix array ($\SA$) and inverse suffix array ($\ISA$) are fundamental data structures in string algorithms. For a text $T[0 \dd n)$ over an alphabet $[0 \dd σ)$, explicitly st…

cs.DS2025

Contextual Pattern Mining and Counting

Ling Li, Daniel Gibney, Sharma V. Thankachan +2

Given a string of length , a longer string of length , and two integers and , the context of in is the set of all string pairs , w…

cs.DS2023

Near-Optimal Quantum Algorithms for Bounded Edit Distance and Lempel-Ziv Factorization

Daniel Gibney, Ce Jin, Tomasz Kociumaka +1

Classically, the edit distance of two length- strings can be computed in time, whereas an -time procedure would falsify the Orthogonal Vectors Hypothesis. I…

cs.DS2023★ 2 cited

Compressibility-Aware Quantum Algorithms on Strings

Daniel Gibney, Sharma V. Thankachan

Sublinear time quantum algorithms have been established for many fundamental problems on strings. This work demonstrates that new, faster quantum algorithms can be designed when th…

cs.DS2022★ 1 cited

The Complexity of Approximate Pattern Matching on De Bruijn Graphs

Daniel Gibney, Sharma V. Thankachan, Srinivas Aluru

Aligning a sequence to a walk in a labeled graph is a problem of fundamental importance to Computational Biology. For finding a walk in an arbitrary graph with edges that exa…

cs.CC2020

Simple Reductions from Formula-SAT to Pattern Matching on Labeled Graphs and Subtree Isomorphism

Daniel Gibney, Gary Hoppenworth, Sharma V. Thankachan

The CNF formula satisfiability problem (CNF-SAT) has been reduced to many fundamental problems in P to prove tight lower bounds under the Strong Exponential Time Hypothesis (SETH).…

cs.DS2019

On the Complexity of BWT-runs Minimization via Alphabet Reordering

Jason Bentley, Daniel Gibney, Sharma V. Thankachan

The Burrows-Wheeler Transform (BWT) has been an essential tool in text compression and indexing. First introduced in 1994, it went on to provide the backbone for the first encoding…

cs.CC2019

On the Hardness and Inapproximability of Recognizing Wheeler Graphs

Daniel Gibney, Sharma V. Thankachan

In recent years several compressed indexes based on variants of the Burrows-Wheeler transformation have been introduced. Some of these index structures far more complex than a sing…

cs.DS2018

On Computing Average Common Substring Over Run Length Encoded Sequences

Sahar Hooshmand, Neda Tavakoli, Paniz Abedin +1

The Average Common Substring (ACS) is a popular alignment-free distance measure for phylogeny reconstruction. The ACS can be computed in O(n) space and time, where n=x+y is the inp…

cs.DS2016

Parameterized Pattern Matching -- Succinctly

Arnab Ganguly, Rahul Shah, Sharma V. Thankachan

We consider the problem, where a pattern matches some location in a text iff there is a one-to-one correspondence between the…

cs.DS2015★ 7 cited

An In-place Framework for Exact and Approximate Shortest Unique Substring Queries

Wing-Kai Hon, Sharma V. Thankachan, Bojian Xu

We revisit the exact shortest unique substring (SUS) finding problem, and propose its approximate version where mismatches are allowed, due to its applications in subfields such as…

cs.DB2015★ 6 cited

Probabilistic Threshold Indexing for Uncertain Strings

Sharma V. Thankachan, Manish Patil, Rahul Shah +1

Strings form a fundamental data type in computer systems. String searching has been extensively studied since the inception of computer science. Increasingly many applications have…

cs.DS2014

Optimal Encodings for Range Majority Queries

Gonzalo Navarro, Sharma V. Thankachan

We study the problem of designing a data structure that reports the positions of the distinct -majorities within any range of an array , without storing . A -major…

cs.DS2012★ 6 cited

On Optimal Top-K String Retrieval

Rahul Shah, Cheng Sheng, Sharma V. Thankachan +1

Let = be a given set of (string) documents of total length . The top- document retrieval problem is to index such that…

cs.DS2011★ 1 cited

Towards an Optimal Space-and-Query-Time Index for Top-k Document Retrieval

Wing-Kai Hon, Rahul Shah, Sharma V. Thankachan

Let $\D = $ be a given set of string documents of total length , our task is to index $\D$, such that the most relevant documents for an online quer…

cs.DB2010

Fully Dynamic Data Structure for Top-k Queries on Uncertain Data

Manish Patil, Rahul Shah, Sharma V. Thankachan

Top- queries allow end-users to focus on the most important (top-) answers amongst those which satisfy the query. In traditional databases, a user defined score function assi…