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种子名称： Algorithms and Data Structures for Massive Datasets
文件类型： 视频
文件数目： 67个文件
文件大小： 1.68 GB
收录时间： 2022-11-30 17:38
已经下载： 3次
资源热度： 217
最近下载： 2024-11-11 21:28

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Algorithms and Data Structures for Massive Datasets.torrent

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/029. Chapter 6. Streaming data Bringing everything together.mp444.66MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/035. Chapter 7. Sampling from data streams.mp442.81MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/047. Chapter 8. Quantile queries with q-digests.mp440.41MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/038. Chapter 7. Sampling from a sliding window.mp438.79MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/037. Chapter 7. Biased reservoir sampling.mp437.65MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/008. Chapter 2. Usage scenarios in modern systems.mp436.61MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/049. Chapter 9. Introducing the external memory model.mp436.6MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/007. Chapter 2. Review of hash tables and modern hashing.mp435.7MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/022. Chapter 4. Range queries with count-min sketch.mp435.26MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/020. Chapter 4. Update.mp434.4MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/034. Chapter 6. Biased sampling strategy.mp432.39MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/019. Chapter 4. Frequency estimation and count-min sketch.mp431.5MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/060. Chapter 10. Lookups.mp431.33MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/009. Chapter 2. Collision resolution Theory vs. practice.mp431.13MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/036. Chapter 7. Reservoir sampling.mp430.85MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/061. Chapter 10. Log-structured merge-trees (LSM-trees).mp430.6MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/012. Chapter 3. Approximate membership Bloom and quotient filters.mp430.55MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/046. Chapter 8. Q-digest.mp430.45MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/052. Chapter 9. Optimal searching.mp430.43MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/041. Chapter 8. Approximate quantiles on data streams.mp430.16MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/045. Chapter 8. Merging t-digests.mp429.34MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/067. Chapter 11. Finding good enough pivots.mp429.2MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/057. Chapter 10. Delete.mp429.05MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/024. Chapter 5. HyperLogLog incremental design.mp428.71MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/032. Chapter 6. Practical constraints and concepts in data streams.mp428.19MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/031. Chapter 6. Deduplication.mp428.03MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/040. Chapter 7. Sampling algorithms comparison.mp427.34MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/011. Chapter 2. Adding a new noderesource.mp426.89MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/001. Chapter 1. Introduction.mp426.79MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/055. Chapter 10. Data structures in this chapter.mp426.33MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/027. Chapter 5. The effect of the number of buckets (m).mp425.23MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/004. Chapter 1. The structure of this book.mp425.15MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/033. Chapter 6. Math bit Sampling and estimation.mp424.69MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/025. Chapter 5. LogLog.mp424.68MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/013. Chapter 3. A simple implementation.mp424.2MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/039. Chapter 7. Priority sampling.mp424.02MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/065. Chapter 11. External memory merge-sort (MB-way merge-sort).mp423.89MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/059. Chapter 10. Bε-trees.mp423.71MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/015. Chapter 3. Bloom filter adaptations and alternatives.mp423.54MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/030. Chapter 6. Streaming data system A meta example.mp423.54MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/016. Chapter 3. Understanding metadata bits.mp423.32MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/023. Chapter 5. Cardinality estimation and HyperLogLog.mp423.14MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/058. Chapter 10. Math bit Why are B-tree lookups optimal in external memory.mp422.46MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/044. Chapter 8. Scale functions.mp422.26MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/042. Chapter 8. Approximate quantiles.mp422.21MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/066. Chapter 11. What about external quick-sort.mp422.11MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/063. Chapter 11. External memory sorting.mp421.47MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/003. Chapter 1. How to solve it, take two A book walkthrough.mp421.42MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/005. Chapter 1. Latency vs. bandwidth.mp421.18MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/054. Chapter 10. Data structures for databases B-trees, Bε-trees, and LSM-trees.mp421.03MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/017. Chapter 3. Python code for lookup.mp420.93MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/051. Chapter 9. Example 2 Binary search.mp420.58MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/010. Chapter 2. Hash tables for distributed systems Consistent hashing.mp420.5MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/056. Chapter 10. B-tree balancing.mp420.34MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/050. Chapter 9. Example 1 Finding a minimum.mp420.1MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/018. Chapter 3. Comparison between Bloom filters and quotient filters.mp419.65MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/062. Chapter 10. LSM-tree cost analysis.mp419.25MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/021. Chapter 4. Error vs. space in count-min sketch.mp419.24MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/043. Chapter 8. T-digest How it works.mp418.48MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/026. Chapter 5. Use case Catching worms with HLL.mp418.39MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/014. Chapter 3. A bit of theory.mp417.28MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/064. Chapter 11. Challenges of sorting in external memory An example.mp417.03MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/002. Chapter 1. An example How to solve it.mp416.57MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/053. Chapter 9. External memory model Simple or simplistic.mp416.45MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/006. Part 1. Hash-based sketches.mp46.34MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/048. Part 3. Data structures for databases and external memory algorithms.mp45.86MB

[TutsNode.net] - Algorithms and Data Structures for Massive Datasets/028. Part 2. Real-time analytics.mp45.47MB