## About

29

Publications

1,270

Reads

**How we measure 'reads'**

A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more

205

Citations

Citations since 2016

Introduction

**Skills and Expertise**

Additional affiliations

April 2011 - March 2014

## Publications

Publications (29)

Repetitiveness measures reveal profound characteristics of datasets, and give rise to compressed data structures and algorithms working in compressed space. Alas, the computation of some of these measures is NP-hard, and straight-forward computation is infeasible for datasets of even small sizes. Three such measures are the smallest size of a strin...

In practical machine learning, models are frequently updated, or corrected, to adapt to new datasets. In this study, we pose two challenges to model correction. First, the effects of corrections to the end-users need to be described explicitly, similar to standard software where the corrections are described as release notes. Second, the amount of...

Re-Pairis a grammar compression scheme with favorably good compression rates. The computation of Re-Pair comes with the cost of maintaining large frequency tables, which makes it hard to compute Re-Pair on large-scale data sets. As a solution for this problem, we present, given a text of length n whose characters are drawn from an integer alphabet...

Learning of interpretable classification models has been attracting much attention for the last few years. Discovery of succinct and contrasting patterns that can highlight the differences between the two classes is very important. Such patterns are useful for human experts, and can be used to construct powerful classifiers. In this paper, we consi...

Re-Pair is a grammar compression scheme with favorably good compression rates. The computation of Re-Pair comes with the cost of maintaining large frequency tables, which makes it hard to compute Re-Pair on large scale data sets. As a solution for this problem we present, given a text of length $n$ whose characters are drawn from an integer alphabe...

Given a string $T$ of length $N$, the goal of grammar compression is to construct a small context-free grammar generating only $T$. Among existing grammar compression methods, RePair (recursive paring) [Larsson and Moffat, 1999] is notable for achieving good compression ratios in practice. Although the original paper already achieved a time-optimal...

We propose a new LZ78-style grammar compression algorithm, named LZ-ABT, which is a simple online algorithm to create, given a string of length N over an alphabet of size \(\sigma \), an \(\alpha \)-balanced grammar in \(O(N \log N \log \sigma )\) time and O(n) space in addition to the input string, where n is the grammar size to output. LZ-ABT can...

We propose a new generalization of palindromes and gapped palindromes called block palindromes. A block palindrome is a string becomes a palindrome when identical substrings are replaced with a distinct character. We investigate several properties of block palindromes and in particular, study substrings of a string which are block palindromes. In s...

How can we classify multi-way data such as network traffic logs with multi-way relations between source IPs, destination IPs, and ports? Multi-way data can be represented as a tensor, and there have been several studies on classification of tensors to date. One critical issue in the classification of multi-way relations is how to extract important...

When and why can evolutionary multi-objective optimization (EMO) algorithms cover the entire Pareto set? That is a major concern for EMO researchers and practitioners. A recent theoretical study revealed that (roughly speaking) if the Pareto set forms a topological simplex (a curved line, a curved triangle, a curved tetrahedron, etc.), then decompo...

Initializing all elements of a given array to a specified value is basic operation that frequently appears in numerous algorithms and programs. Initializable arrays are abstract arrays that support initialization as well as reading and writing of any element of the array in constant worst case time. On the word RAM model, we propose an in-place alg...

In this paper, we propose a novel approach to combine compact directed acyclic word graphs (CDAWGs) and grammar-based compression. This leads us to an efficient self-index, called Linear-size CDAWGs (L-CDAWGs), which can be represented with \(O(\tilde{e}_T \log n)\) bits of space allowing for \(O(\log n)\)-time random and O(1)-time sequential acces...

In this paper, we propose a novel approach to combine \emph{compact directed acyclic word graphs} (CDAWGs) and grammar-based compression. This leads us to an efficient self-index, called Linear-size CDAWGs (L-CDAWGs), which can be represented with $O(\tilde e_T \log n)$ bits of space allowing for $O(\log n)$-time random and $O(1)$-time sequential a...

Suffix arrays and LCP arrays are one of the most fundamental data structures widely used for various kinds of string processing. Many problems can be solved efficiently by using suffix arrays, or a pair of suffix arrays and LCP arrays. In this paper, we consider two problems for a string of length $N$, the characters of which are represented as int...

A closed string is a string with a proper substring that occurs in the string as a prefix and a suffix, but not elsewhere. Closed strings were introduced by Fici (2011) as objects of combinatorial interest in the study of Trapezoidal and Sturmian words. In this paper we present algorithms for computing closed factors (substrings) in strings. First,...

We propose a new variant of the LZ78 factorization which we call the LZ Double-factor factorization (LZD factorization). Each factor of the LZD factorization of a string is the concatenation of the two longest previous factors, while each factor of the LZ78 factorization is that of the longest previous factor and the following character. Interestin...

We present a new text indexing structure based on the run length encoding (RLE) of a text string T which, given the RLE of a query pattern P, reports all the occ occurrences of P in T in O(m+occ+log n) time, where n and m are the sizes of the RLEs of T and P, respectively. The data structure requires n(2 logN+log n+log σ)+O(n) bits of space, where...

We present a new linear time algorithm for computing the Lempel-Ziv Factorization (LZ77) of a given string of length N on an alphabet of size σ, that utilizes only N log N + O(σ log N) bits of working space. When the alphabet size is small, this greatly improves the previous best space requirement for linear time LZ77 factorization (Karkkainen et a...

We present a new algorithm for computing the Lempel-Ziv Factorization (LZ77)
of a given string of length $N$ in linear time, that utilizes only $N\log N +
O(1)$ bits of working space, i.e., a single integer array, for constant size
integer alphabets. This greatly improves the previous best space requirement
for linear time LZ77 factorization (K\"ar...

We present a new, simple, and efficient approach for computing the Lempel-Ziv
(LZ77) factorization of a string in linear time, based on suffix arrays.
Computational experiments on various data sets show that our approach
constantly outperforms the currently fastest algorithm LZ OG (Ohlebusch and Gog
2011), and can be up to 2 to 3 times faster in th...

We present an efficient algorithm for calculating $q$-gram frequencies on
strings represented in compressed form, namely, as a straight line program
(SLP). Given an SLP $\mathcal{T}$ of size $n$ that represents string $T$, the
algorithm computes the occurrence frequencies of all $q$-grams in $T$, by
reducing the problem to the weighted $q$-gram fre...

Collage systems are a general framework for representing outputs of various
text compression algorithms. We consider the all $q$-gram frequency problem on
compressed string represented as a collage system, and present an $O((q+h\log
n)n)$-time $O(qn)$-space algorithm for calculating the frequencies for all
$q$-grams that occur in the string. Here,...

Length-$q$ substrings, or $q$-grams, can represent important characteristics
of text data, and determining the frequencies of all $q$-grams contained in the
data is an important problem with many applications in the field of data mining
and machine learning. In this paper, we consider the problem of calculating the
{\em non-overlapping frequencies}...

We consider the problem of {\em restructuring} compressed texts without
explicit decompression. We present algorithms which allow conversions from
compressed representations of a string $T$ produced by any grammar-based
compression algorithm, to representations produced by several specific
compression algorithms including LZ77, LZ78, run length enc...

We present simple and efficient algorithms for calculating $q$-gram
frequencies on strings represented in compressed form, namely, as a straight
line program (SLP). Given an SLP of size $n$ that represents string $T$, we
present an $O(qn)$ time and space algorithm that computes the occurrence
frequencies of $q$-grams in $T$. Computational experimen...