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Compressing and indexing labeled trees, with applications - people unipmn

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The document presents a novel approach to compressing and indexing labeled trees, particularly focusing on the XBW-transform, which linearizes the tree structure into two coordinated arrays. This method allows for efficient navigational and path-based search operations while achieving near-optimal space complexity. The authors demonstrate the application of this technique in XML data compression and indexing, showing significant improvements in both compression ratios and query performance compared to existing methods. The paper discusses theoretical foundations, algorithmic implementations, and experimental results that highlight the effectiveness of the proposed solutions.

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Which tree is used for indexing?

B-Tree Indexing Explained A B-tree stores data such that each node contains keys in ascending order. Each of these keys has two references to another two child nodes. The left side child node keys are less than the current keys, and the right side child node keys are more than the current keys. How Database B-Tree Indexing Works | Built In Built In data-science b-tree-index Built In data-science b-tree-index

What is an example of a tree based index?

Examples are the AVL and splay trees. As an alternative, the 2-3 Tree has the property that its leaves are always at the same level.

What is the concept of a tree?

A tree is a tall plant that can live a very long time. It has a single stem or trunk and branches that support leaves. Beneath the ground, a tree has a root system that acts as an anchor and stores the water and nutrients the plant needs to grow.

What is the basic concept of indexing?

Indexing, broadly, refers to the use of some benchmark indicator or measure as a reference or yardstick. In finance and economics, indexing is used as a statistical measure for tracking economic data such as inflation, unemployment, gross domestic product (GDP) growth, productivity, and market returns.

What is the concept of trees in data structure?

A tree is a nonlinear data structure, compared to arrays, linked lists, stacks and queues which are linear data structures. A tree can be empty with no nodes or a tree is a structure consisting of one node called the root and zero or one or more subtrees.

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What is the concept of trees for indexing?

Tree-based indexing maintains the order of the search-key values. It is thus applicable to attributes that are numeric, and hence it can be used to address range queries (and also equality queries, when the range query interval is reduced to one value). Tree-Based Indexing | SpringerLink SpringerLink SpringerLink

What is tree compression?

The compression and optimization of trees is usually performed in two phases: the. compression of the structure (linearization of the tree structure) and the compression. of the data stored in it (linearization of data). Tree Compression and Optimization with Applications. - ResearchGate ResearchGate publication 259479421 ResearchGate publication 259479421

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