Private itemset support counting
… or the support of a fixed itemset) to others. That is, we consider the itemset support counting
(… We construct a specific 2n × n binary database D such that itemset supports in it encode S. …
(… We construct a specific 2n × n binary database D such that itemset supports in it encode S. …
Differentially private frequent itemset mining via transaction splitting
… Our goal is to ensure the release of frequent itemsets itself does not leak private information.
… To compute the probability of itemset X remaining in one subset, we first count the number …
… To compute the probability of itemset X remaining in one subset, we first count the number …
[HTML][HTML] On differentially private frequent itemset mining
C Zeng, JF Naughton, JY Cai - The VLDB journal: very large data …, 2012 - ncbi.nlm.nih.gov
… private top-k frequent itemset mining [5, 16]. This problem is somewhat different from the
one we address (“find all itemsets whose support … A β-itemset query is a count query which …
one we address (“find all itemsets whose support … A β-itemset query is a count query which …
Top-k frequent itemsets via differentially private fp-trees
J Lee, CW Clifton - Proceedings of the 20th ACM SIGKDD international …, 2014 - dl.acm.org
… The supports of all subsets of a basis are derived by using binary itemset support counting[5].
To find a basis set, PrivBasis employed the technique used in MaxClique[18]. However, …
To find a basis set, PrivBasis employed the technique used in MaxClique[18]. However, …
DP-Apriori: A differentially private frequent itemset mining algorithm based on transaction splitting
… i-itemset query” is a count query that computes the support of an i-… In DP-Apriori, we privately
discover frequent itemsets in order … k-itemsets, we utilize frequent (k−1)-itemsets to generate …
discover frequent itemsets in order … k-itemsets, we utilize frequent (k−1)-itemsets to generate …
Privbasis: Frequent itemset mining with differential privacy
… Below we show a way to privately over-approximate the maximal frequent itemsets. … that
we can get relatively high accuracy for the released itemset counts. On the other hand, the TF …
we can get relatively high accuracy for the released itemset counts. On the other hand, the TF …
Itemset support queries using frequent itemsets and their condensed representations
… Protocols for private itemset support queries are given in [25]… itemsets to facilitate the answering
of itemset support queries. … supports of closed and free frequent itemsets, and the counts …
of itemset support queries. … supports of closed and free frequent itemsets, and the counts …
Locally differentially private frequent itemset mining
… itemset to size l, generating two sources of errors: When l is small, one would underestimate
the frequency counts, … While the resulting frequency counts under-estimate the true counts, …
the frequency counts, … While the resulting frequency counts under-estimate the true counts, …
A two-phase algorithm for differentially private frequent subgraph mining
… -based noisy support computation approach, which includes a count accumulation method
… optimized approach for computing the noisy support of frequent itemsets (See Section 8.4). …
… optimized approach for computing the noisy support of frequent itemsets (See Section 8.4). …
Differentially private frequent subgraph mining
… , we apply it to frequent itemset mining. The experimental … -the-art on differentially private
frequent itemset mining [11]. … a count accumulation method to compute the noisy support of …
frequent itemset mining [11]. … a count accumulation method to compute the noisy support of …