BITS-Tree-An Efficient Data Structure for Segment Storage and Query Processing
K.S. Easwarakumar, T. Hema

TL;DR
This paper introduces BITS-Tree, a new data structure for efficient dynamic segment storage and querying, allowing flexible insertions beyond current ranges and faster query responses than standard segment trees.
Contribution
The paper presents BITS-Tree, a novel data structure that improves upon standard segment trees by supporting broader insertions and faster query processing.
Findings
Fewer nodes compared to dynamic standard segment trees
Supports insertion of segments beyond current interval range
Achieves faster query response times
Abstract
In this paper, a new and novel data structure is proposed to dynamically insert and delete segments. Unlike the standard segment trees[3], the proposed data structure permits insertion of a segment with interval range beyond the interval range of the existing tree, which is the interval between minimum and maximum values of the end points of all the segments. Moreover, the number of nodes in the proposed tree is lesser as compared to the dynamic version of the standard segment trees, and is able to answer both stabbing and range queries practically much faster compared to the standard segment trees.
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Taxonomy
TopicsAlgorithms and Data Compression · Network Packet Processing and Optimization · Advanced Database Systems and Queries
