Mining Frequent Itemsets from Noisy Data. - Kazuyo Narita; Hiroyuki Kitagawa (ICDE Workshops, 2006)

Detecting Outliers in Categorical Record Databases Based on Attribute Associations. - Kazuyo Narita; Hiroyuki Kitagawa (APWeb, 2008)

Outlier Detection for Transaction Databases Using Association Rules. - Kazuyo Narita; Hiroyuki Kitagawa (WAIM, 2008)

Landmark-Join: Hash-Join Based String Similarity Joins with Edit Distance Constraints. - Kazuyo Narita; Shinji Nakadai; Takuya Araki (DaWaK, 2012)

Feliss: Flexible distributed computing framework with light-weight checkpointing. - Takuya Araki; Kazuyo Narita; Hiroshi Tamano (IEEE BigData, 2013)

MOARLE: Matrix Operation Accelerator Based on Run-Length Encoding. - Masafumi Oyamada; Jianquan Liu; Kazuyo Narita; Takuya Araki (APWeb, 2014)

Compressed Vector Set: A Fast and Space-Efficient Data Mining Framework. - Masafumi Oyamada; Jianquan Liu; Shinji Ito; Kazuyo Narita; Takuya Araki; Hiroyuki Kitagawa (J. Inf. Process., 2018)