Development towards innovative data structure utilizing methodology of limit of computation

2017 Fiscal Year Final Research Report

• Project Area: A multifaceted approach toward understanding the limitations of computation
• Project/Area Number: 24106007
• Research Category: Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
• Allocation Type: Single-year Grants
• Review Section: Science and Engineering
• Research Institution: Tohoku University
• Principal Investigator: Tokuyama Takeshi 東北大学, 情報科学研究科, 教授 (40312631)
• Co-Investigator(Kenkyū-buntansha): 宇野 毅明 国立情報学研究所, 大学共同利用機関等の部局等, 教授 (00302977) ; 堀山 貴史 埼玉大学, 理工学研究科, 准教授 (60314530) ; 渋谷 哲朗 東京大学, 医科学研究所, 准教授 (60396893)
• Co-Investigator(Renkei-kenkyūsha): SADAKANE Kunihiko 東京大学, 大学院情報理工学系研究科, 教授 (20323090) ; YAMANAKA Katsuhisa 岩手大学, 理工学部, 准教授 (60508836)
• Project Period (FY): 2012-06-28 – 2017-03-31
• Keywords: 計算理論 / アルゴリズム / 計算限界 / データ構造 / 情報基礎 / ビッグデータ

Outline of Final Research Achievements

Our project aimed at development of several new methodologies on innovative data structures for big-data analysis utilizing the methodologies proposed and developed in the ELC project. The major accomplishments are: 1. Development of compressed data structures with efficient search and update algorithms 2. Solutions of problems in the application areas of genome and social big-data analysis by using theoretical compressed data structures, 3. Development of several algorithms and methods on ZDD and its application to structure enumeration in geometry and chemistry, and 4. Development of new data clustering method named data polishing with applications. Those accomplishments leads to real applications and succeed to several new influential data analysis projects lead by members of the project.

Free Research Field

Theoretical Computer Science