High dim. data
- LSH: locality sensitive hashing, Clustering, dimensionality reduction
Graph data
- Pagerank/simrank, network analysis, spam detection,
- including graph clustering
Inifinite data
- Filtering data streams, queries on streams
Libraries of powerful algorithms
- Machine learning (SVM, decisions trees, perceptron, kNN)
- Weak signals
- Natural Language Processing
- Expert systems ( including backward chaining, rules recognition…)
- Pattern detection & matching
- Time series
- Sparse matrix
- Feature engineering
- Model selection & “Ensemble” algo
Technical Architecture & performance optimization for big Volumes