Scalable and space-efficient Robust Matroid Center algorithms
Given a dataset V of points from some metric space, a popular robust formulation of the k-
center clustering problem requires to select k points (centers) of V which minimize the …
center clustering problem requires to select k points (centers) of V which minimize the …
Implementing distributed similarity joins using locality sensitive hashing
Similarity joins are a basic primitive in data mining. Given two sets of points, we are
interested in reporting all pairs of points whose similarity is above a user-defined threshold …
interested in reporting all pairs of points whose similarity is above a user-defined threshold …
Indexing Temporal Relations for Range-Duration Queries
Temporal information plays a crucial role in many database applications, however support
for queries on such data is limited. We present an index structure, termed RD-index, to …
for queries on such data is limited. We present an index structure, termed RD-index, to …
Indexing temporal relations for range-duration queries
Temporal information plays a crucial role in many database applications, however support
for queries on such data is limited. We present an index structure, termed rd-index, to …
for queries on such data is limited. We present an index structure, termed rd-index, to …
[PDF][PDF] Implementing Distributed Approximate Similarity Joins using Locality Sensitive Hashing
Similarity joins are a basic primitive in data mining. Given two sets of points, we are
interested in reporting all pairs of points whose similarity is above a user-defined threshold …
interested in reporting all pairs of points whose similarity is above a user-defined threshold …
Empirical Characterization of the Fuzzy ARTMAP Algorithm for E-Discovery: Towards Explainable Technology-Assisted Review
CP Courchaine - 2022 - search.proquest.com
Technology-assisted review systems in e-discovery are typically considered “black boxes,”
providing no insight into how predictions are made, making it difficult for attorneys to trust the …
providing no insight into how predictions are made, making it difficult for attorneys to trust the …