“Making Sense of (Multi-) Relational Data”

Tutorial at ECML-PKDD 2015.

11 September 2015, Porto, Portugal

The slides are now available: part 1, part 2, part 3, part 4, part 5, part 6.

Outline:

**PART I: Mining relational data — an overview (40 mins)**

- Data types: Codd’s relational data model, triple stores (linked data), networks, n-ary relations
- Pattern syntax
- Algorithmic approach (e.g. exhaustive enumeration or not)
- `Supervised’ or not, or in between
- Interestingness measures

**PART II: Exploration through targeted modelling (20 mins)**

- Safarii
- RDB-Krimp
- (Probabilistic) ILP

**PART III: Exploration by descriptive modelling – semi-relational local algorithms (20 mins)**

- Frequent itemset mining on the join
- SMuRFIG

— BREAK

**PART IV: Exploration by descriptive modeling – fully-relational local algorithms (40 mins)**

- N-set mining
- RMiner \& variants
- Constraint programming for closed relational sets
- Uncovering the plot

**PART V: Exploration by descriptive modeling – fully-relational global algorithms (40 mins)**

- Joint matrix-tensor factorisations

**PART VI: Perspectives (20 mins)**

- General conclusions and recommendations
- Open problems and opportunities