Advanced Analytics with Spark, 2nd Edition

Index

A

• actions, Bringing Data from the Cluster to the Client
• ADAM (genomics tool set)
  • ingesting data with ADAM CLI, Ingesting Genomics Data with the ADAM CLI-Parquet Format and Columnar Storage
  • Parquet format and columnar storage, Parquet Format and Columnar Storage-Parquet Format and Columnar Storage
• aggregations, computing with DataFrame, Analyzing Data with the DataFrame API
• alternating least squares (ALS) algorithm, The Alternating Least Squares Recommender Algorithm-The Alternating Least Squares Recommender Algorithm
• anomaly detection
  • about, Anomaly Detection
  • categorical variables, Categorical Variables
  • choosing K, Choosing k-Choosing k
  • clustering of full normalized data set, Clustering in Action
  • data visualization with SparkR, Visualization with SparkR-Visualization with SparkR
  • defined for K-means clustering, Clustering in Action
  • feature normalization, Feature Normalization
  • initial clustering attempt, A First Take on Clustering-A First Take on Clustering
  • K-means clustering for, Network Intrusion-Where to Go from Here
  • KDD Cup 1999 data set, KDD Cup 1999 Data Set
  • network intrusion, Network Intrusion
  • using labels with entropy, Using Labels with Entropy
• Apache Maven, Getting Started: The Spark Shell and SparkContext
• area under the curve (AUC)
  • computing for recommendation engine, Computing AUC
  • defined, Evaluating Recommendation Quality
• Audioscrobbler data set, Data Set
• average path length, Computing Average Path Length with Pregel-Computing Average Path Length with Pregel
• Avro, Decoupling Storage from ...