Examples of using Leaf node in English and their translations into Spanish
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The B-tree enables the database to find a leaf node quickly.
The leaf node holds the class prediction, forming the rule consequent.
The first ingredient for a slow index lookup is the leaf node chain.
Next it follows the leaf node chain to find all other entries for that subsidiary.
The database traverses the B-tree and follows the leaf node chain.
A node can be either a leaf node or an internal node. .
Minimum leaf samples:Minimum number of samples within a leaf node.
From there on, it follows the leaf node chain"upwards" as shown in Figure 6.2.
The biggest performance risk of an INDEX RANGE SCAN is the leaf node traversal.
When this happens,it simply creates a leaf node for the decision tree saying to choose that class.
The access predicatesexpress the start and stop conditions of the leaf node traversal.
If not, the database splits the leaf node and distributes the entries between the old and a new node. .
Index filter predicates are applied during the leaf node traversal only.
Each leaf node is stored in a database block or page; that is, the database's smallest storage unit.
To insert a new element, search the tree to find the leaf node where the new element should be added.
After all, this is why the database uses a doubly linked list to build the leaf node chain.
Please note that the condition on ID2 cannot narrow the leaf node traversal because the index has the ID1 column before ID2.
Each node in the tree either has exactly four children, orhas no children a leaf node.
The IXSCAN performs the B-tree traversal and follows the leaf node chain to find all matching entries.
In this case, all where clause conditions limit the scanned index range so thatthe scan terminates at the very same leaf node.
The INDEX RANGE SCAN performs the tree traversal and follows the leaf node chain to find all matching entries.
The database follows the reference to the corresponding branch node andrepeats the procedure until the tree traversal reaches a leaf node.
When a fact or combination of facts causes all of the patterns for a given rule to be satisfied, a leaf node is reached and the corresponding rule is triggered.
The SQL Server's Seek Predicates correspond to Oracle's access predicates-they narrow the leaf node traversal.
For example, the temperatures in an area may be stored as a quadtree, with each leaf node storing the average temperature over the subregion it represents.
That means that an index lookup not only needs to perform the tree traversal,it also needs to follow the leaf node chain.
Similarly, an external node(also known as an outer node, leaf node, or terminal node) is any node that does not have child nodes. .
An index lookup requires three steps:(1) the tree traversal;(2)following the leaf node chain;(3) fetching the table data.
That means that the index order is maintained on two different levels:the index entries within each leaf node, and the leaf nodes among each other using a doubly linked list.
Once you get to the node under which the child should be located, add the new point as either the left orright child of the leaf node, again depending on which side of the node's splitting plane contains the new node. .