Results 71 to 80 of about 306,546 (292)

Incremental Top-k High Utility Pattern Mining and Analyzing Over the Entire Accumulated Dynamic Database

IEEE Access
Top-k high utility pattern mining, which extracts the highest top-k patterns that the users want to find, has been actively studied. Most previous studies in this domain have focused on static databases, where data insertions do not occur.
Chanhee Lee, Hanju Kim, Myungha Cho, Hyeonmo Kim, Bay Vo, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Unil Yun   +7 more
doaj   +1 more source

Analyzing of incremental high utility pattern mining based on tree structures

, 2017
Since the concept of high utility pattern mining was proposed to solve the drawbacks of traditional frequent pattern mining approach that cannot handle various features of real-world applications, many different techniques and algorithms for high utility
Judae Lee, Unil Yun, Gangin Lee
core   +1 more source

Therapeutic Apheresis in Nigeria: A Multi‐Center Summary of Abstracts From the Inaugural Nigerian Society for Apheresis Scientific Meeting

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Therapeutic apheresis (TA) is an established treatment modality for hematologic, neurologic, and immunologic disorders, yet access remains severely limited in sub‐Saharan Africa. Donor apheresis, including platelet apheresis collection from healthy donors, represents an important complementary modality supporting blood product ...
Nosa Bazuaye, Chimezie Okwuonu, Evelyn Idam, Folasade Adelekan‐Popoola, Shakirat Gold‐Olufadi, Olufunto Olufela Kalejaiye, Abdullateef Ogala, Zinnah Aloziem, Blossom Amamchukwu, Patience Elimia, Mkpoikanabasi Obot‐Obot, Henry Mbakwe, Praises Maduagwuna, Olatunji Akinrodoye, Chiamaka Anyanwu, Benjamin Anyanwu, Adedamola Akinsiku, Oluwatoyin A. Akinsiku, Muzamil O. Hassan, Fatiu A. Arogundade, Olalekan E. Ojo, Homayemem Weli, Jesupelumi Adenihun, Aderemi Adelaja, Ebun Bamgboye, Olalekan Olatise, Ade E. Faponle, Ayoola Odeyemi, Michael Muoka, Stephen Asaolu, Qudrat Busari, Blessing Dawudu, Michael Naiyeju, Rasheed A. Balogun   +33 more
wiley   +1 more source

Effectiveness of a Novel Low‐Density Lipoprotein Apheresis Device Rheocarna in Patients Undergoing Hemodialysis With Chronic Limb‐Threatening Ischemia: A Single‐Center Retrospective Study

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Chronic limb‐threatening ischemia (CLTI) is a severe form of lower‐extremity artery disease characterized by distal lesions and microcirculatory impairment, limiting revascularization efficacy. Rheocarna is a direct hemoperfusion low‐density lipoprotein (LDL) adsorption device with potential rheological and anti‐inflammatory ...
Kunihiro Ishioka, Takayasu Ohtake, Kei Ohmori, Chika Shibuya, Tomoki Tsukahara, Mizuki Yamano, Yasuhiro Mochida, Machiko Oka, Kyoko Maesato, Yusuke Tsukamoto, Hidekazu Moriya, Sumi Hidaka, Shuzo Kobayashi   +12 more
wiley   +1 more source

Prognosis of Long‐Term Continuous Renal Replacement Therapy and the Impact of Combined Continuous Intravenous Sodium Infusion Therapy

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Patients requiring long‐term continuous renal replacement therapy (CRRT) generally have poor prognoses. This study evaluated whether adding continuous intravenous sodium infusion (cIVNa) is associated with improved hemodynamics and outcomes in patients undergoing long‐term CRRT for ≥ 7 days.
Akinori Yamaguchi, Atsuyoshi Mita, Kosuke Sonoda, Makoto Harada, Koji Hashimoto, Hiroshi Imamura, Yuji Kamijo   +6 more
wiley   +1 more source

A Data-Driven Approach for Twitter Hashtag Recommendation

IEEE Access, 2020
This paper addresses the hashtag recommendation problem using high average-utility pattern mining. We introduce a novel framework called PM-HRec (Pattern Mining for Hashtag Recommendation). It consists of two main stages.
Asma Belhadi, Youcef Djenouri, Jerry Chun-Wei Lin, Alberto Cano   +3 more
doaj   +1 more source

Discovering High Utility Itemsets using Hybrid Approach

, 2015
Mining of high utility itemsets especially from the big transactional databases is time consuming task. For mining the high utility itemsets from large transactional datasets multiple methods are available and have some consequential limitations. In case
, Amol J. Gosavi, Dr. K. V. Metre
core   +1 more source

Enhancing the Performance of Mining High Utility Itemsets Based On Pattern Algorithm [PDF]

, 2020
: Data Mining is the process of analyzing data from different perspectives and summarizing it into useful information. An association in data mining indicates a logical dependency between various attributes of an entity.
Ranjith M Kumar, Kalaivani A, Dr Ram N Sankar   +2 more
core  

Establishing an Apheresis Medicine Program in a Resource‐Constrained Setting: A 5‐Year Experience From Lagos, Nigeria

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Establishing a comprehensive apheresis medicine program in a resource‐constrained setting presents significant structural, financial, and logistical challenges. Despite the growing clinical importance of apheresis services globally, published experience from sub‐Saharan Africa remains sparse.
Folasade Adelekan‐Popoola, Shakirat Gold‐Olufadi, Olufunto Olufela Kalejaiye, Abdullateef Ogala, Rasheed A. Balogun   +4 more
wiley   +1 more source

Mining high utility sequential patterns [PDF]

, 2015
University of Technology Sydney. Faculty of Engineering and Information Technology.Sequential pattern mining refers to the identification of frequent subsequences in sequence databases as patterns.
Yin, J
core