'Local depth' presentation slideshows

Hash-Based Indexes

Hash-Based Indexes. Chapter 11. Introduction. As for any index, 3 alternatives for data entries k* : Data record with key value k < k , rid of data record with search key value k > < k , list of rids of data records with search key k > Choice orthogonal to the indexing technique

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Geoffrey Hinton

CSC2535: Computation in Neural Networks Lecture 11 Extracting coherent properties by maximizing mutual information across space or time. Geoffrey Hinton. The aims of unsupervised learning. We would like to extract a representation of the sensory input that is useful for later processing.

202 views • 19 slides

Index tuning

Index tuning. Hash Index. overview. Introduction. Hash-based indexes are best for equality selections . Can efficiently support index nested joins Cannot support range searches. Static and dynamic hashing techniques exist; trade-offs similar to ISAM vs. B+ trees. Static Hashing.

187 views • 18 slides

The value in having standards

273 views • 14 slides

Extendible Hashing - Class Example

Extendible Hashing - Class Example. splitting bucket. splitting bucket. rec 1. d 1 =0. 0. rec 2. 1. record 3 = overflow!!. record 5 = overflow!!. d1 = 1. d1 = 1. d 1 = local depth d = global depth. rec 1. rec 4. d = 0. d = 1. rec 2. rec 3. NEXT. rec 1. rec 4.

487 views • 7 slides